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awesome-federated-computing
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
https://github.com/tushar-semwal/awesome-federated-computing
Last synced: 1 day ago
JSON representation
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Research Papers
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2020
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Multi-Center Federated Learning - semwal/awesome-federated-computing/blob/master/imgs/github-logo-16px.png)
- Turn Signal Prediction: A Federated Learning Case Study
- FedPerf: A Practitioners’ Guide to Performance of Federated Learning Algorithms
- WAFFLe: Weight Anonymized Factorization for Federated Learning
- Fed+: A Family of Fusion Algorithms for Federated Learning
- Fast-Convergent Federated Learning
- FedML: A Research Library and Benchmark for Federated Machine Learning - AI/FedML)] 
- Federated Visual Classification with Real-World Data Distribution - research/google-research/tree/master/federated_vision_datasets)] 
- Flower: A Friendly Federated Learning Research Framework - semwal/awesome-federated-computing/blob/master/imgs/github-logo-16px.png)
- Federated Deep Reinforcement Learning for Internet of Things with Decentralized Cooperative Edge Caching
- Three Approaches for Personalization with Applications to Federated Learning
- Salvaging Federated Learning by Local Adaptation
- Federated Learning of a Mixture of Global and Local Models
- Federated Learning with Matched Averaging
- Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning
- Knowledge Federation: Hierarchy and Unification
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach
- Multi-Participant Multi-Class Vertical Federated Learning
- Accelerating DNN Training in Wireless Federated Edge Learning System
- Federated Optimization in Heterogeneous Networks - semwal/awesome-federated-computing/blob/master/imgs/github-logo-16px.png)
- A Secure Federated Transfer Learning Framework
- Federated Learning for Healthcare Informatics
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Knowledge Federation: Hierarchy and Unification
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Multi-Participant Multi-Class Vertical Federated Learning
- Accelerating DNN Training in Wireless Federated Edge Learning System
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Federated Deep Reinforcement Learning for Internet of Things with Decentralized Cooperative Edge Caching
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Federated Learning with Matched Averaging
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- On the Convergence of FedAvg on Non-IID Data - semwal/awesome-federated-computing/blob/master/imgs/github-logo-16px.png)
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
- Decentralized Knowledge Acquisition for Mobile Internet Applications
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2019
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- Record and Reward Federated Learning Contributions with Blockchain - semwal/awesome-federated-computing/blob/master/imgs/github-logo-16px.png)
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints - federated-learning)] 
- Robust and Communication-Efficient Federated Learning from Non-IID Data - learning)] 
- Federated Learning for Ranking Browser History Suggestions - learning)] 
- Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
- The Non-IID Data Quagmire of Decentralized Machine Learning
- Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
- Accelerating DNN Training in Wireless Federated Edge Learning System
- FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record
- Federated Learning for Emoji Prediction in a Mobile Keyboard
- Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
- Decentralized Federated Learning: A Segmented Gossip Approach
- Federated Learning-Based Computation Offloading Optimization in Edge Computing-Supported Internet of Things
- Towards Faster and Better Federated Learning: A Feature Fusion Approach
- Decentralized Bayesian Learning over Graphs
- Federated Multi-task Hierarchical Attention Model for Sensor Analytics
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- Federated Learning for Time Series Forecasting Using LSTM Networks: Exploiting Similarities Through Clustering
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems
- Privacy-Preserving Deep Learning via Weight Transmission
- Federated Learning of Out-of-Vocabulary Words
- Towards Federated Learning at Scale: System Design
- Agnostic Federated Learning
- Peer-to-peer Federated Learning on Graphs
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record
- Federated Learning for Emoji Prediction in a Mobile Keyboard
- Decentralized Bayesian Learning over Graphs
- Federated Learning of Out-of-Vocabulary Words
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- Towards Faster and Better Federated Learning: A Feature Fusion Approach
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- Federated Learning for Time Series Forecasting Using LSTM Networks: Exploiting Similarities Through Clustering
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- Learning Private Neural Language Modeling with Attentive Aggregation - att)] 
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
- FFD: A Federated Learning Based Method for Credit Card Fraud Detection
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2021
- Towards Causal Federated Learning For Enhanced Robustness And Privacy
- FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
- OpenFL: An open-source framework for Federated Learning - semwal/awesome-federated-computing/blob/master/imgs/github-logo-16px.png)
- A Bayesian Federated Learning Framework with Multivariate Gaussian Product
- Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing
- FedProf: Optimizing Federated Learning with Dynamic Data Profiling
- Toward Resource-Efficient Federated Learning in Mobile Edge Computing
- Scaling Neuroscience Research using Federated Learning
- Exploiting Shared Representations for Personalized Federated Learning
- FedSA: A staleness-aware asynchronous Federated Learning algorithm with non-IID data
- Blockchained Federated Learning for Threat Defense
- Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
- FedBN: Federated Learning on Non-IID Features via Local Batch Normalization - air/FedBN)] 
- Federated Learning over Noisy Channels: Convergence Analysis and Design Examples
- FedSim: Similarity guided model aggregation for Federated Learning - semwal/awesome-federated-computing/blob/master/imgs/github-logo-16px.png)
- Toward Resource-Efficient Federated Learning in Mobile Edge Computing
- Towards Causal Federated Learning For Enhanced Robustness And Privacy
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2018
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
- Federated Kernelized Multi-Task Learning
- Federated Learning with Non-IID Data
- Distributed Fine-tuning of Language Models on Private Data
- Federated Learning Based Proactive Content Caching in Edge Computing
- When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning
- How To Backdoor Federated Learning
- LEAF: A Benchmark for Federated Settings - semwal/awesome-federated-computing/blob/master/imgs/github-logo-16px.png)
- Federated Learning for Mobile Keyboard Prediction - Gboard
- Federated learning of predictive models from federated Electronic Health Records
- A Performance Evaluation of Federated Learning Algorithms
- Federated Learning Based Proactive Content Caching in Edge Computing
- How to backdoor federated learning
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2017
- Differentially Private Federated Learning: A Client Level Perspective - learning-diff-private-federated-learning)] 
- Federated Tensor Factorization for Computational Phenotyping
- Federated Multi-Task Learning
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2016
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2015
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2022
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Blogs
- Online Comic from Google AI on Federated Learning
- An Introduction to Federated Learning
- Federated learning: Distributed machine learning with data locality and privacy
- Federated Learning: The Future of Distributed Machine Learning
- Federated Learning for Wake Word Detection
- Learn to adapt Flower for your use-case
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Survey Papers
- Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies
- Advances and Open Problems in Federated Learning - Inria 2019
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey
- Federated Learning: Challenges, Methods, and Future Directions
- Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
- Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
- Federated Learning: Challenges, Methods, and Future Directions
- Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
- Survey of Personalization Techniques for Federated Learning
- Federated Machine Learning: Concept and Applications
- Federated Machine Learning: Concept and Applications
- Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
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Libraries/Frameworks
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2015
- Tensorflow Federated - TFF - A library on top of Tensorflow.
- PySyft - Github - The PyTorch based library.
- PyTorch Federated Learning - Github
- Paddle Federated Learning - Federated Deep Learning in PaddlePaddle.
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Tutorials
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Datasets
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Projects
Categories
Keywords
federated-learning
4
deep-learning
3
cryptography
2
privacy
2
pytorch
2
machine-learning
2
kotlin
2
deeplearning4j
2
dl4j
2
python
1
secure-computation
1
syft
1
android
1
edge-computing
1
cifar-10
1
blockchain-technology
1
cryptocurrency
1
data-exchange
1
data-unions
1
datatoken
1
decentralized
1
distributed-tracing
1
on-premise
1
traceability
1