FLsystem-paper
Federated Learning Systems Paper List
https://github.com/AmberLJC/FLsystem-paper
Last synced: 4 days ago
JSON representation
-
FL Systems from big tech companies
-
Framework
-
Vertical FL
-
Paper
-
-
Open-source FL Framework
-
Vertical FL
-
-
Edge / Mobile
-
Vertical FL
-
-
Security and Privacy
-
Real-world device traces
-
FL x LLM
-
Vertical FL
- FederatedScope-LLM - tuning Large Language Models in Federated Learning
-
-
Federated Computation Systems
-
Vertical FL
- Device-centric Federated Analytics At Ease
- λ-FL : Serverless Aggregation For Federated Learning
- Characterizing and Optimizing End-to-End Systems for Private Inference
- STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining
- Device-centric Federated Analytics At Ease
- Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
-
-
Optimization for FL Systems
-
Vertical FL
- Oort: Efficient Federated Learning via Guided Participant Selection
- Mistify: Automating DNN Model Porting for On-Device Inference at the Edge
- Resource-Efficient Federated Learning
- Federated Learning with Buffered Asynchronous Aggregation
- Hermes: An Efficient Federated Learning Framework for Heterogeneous Mobile Clients
- PyramidFL: A Fine-grained Client Selection Framework for efficient Federated Learning
- Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning
- Auxo - Mitigating Federated Learning via Scalable Client Clustering | SoCC' 23
- GlueFL
- Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search
- HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
- FedorAS: Federated Architecture Search under system heterogeneity
- Venn
- GlueFL
- Pisces
-
Energy-efficiency
-
-
General insight for FL
-
Real-world FL Application
-
Survey
-
Energy-efficiency
- **UNIFED: A Benchmark for Federated Learning Frameworks**
- Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies
- A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
- A Field Guide to Federated Optimization
- Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data
- Advances and Open Problems in Federated Learning
- A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
- Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data
- Advances and Open Problems in Federated Learning
-
Programming Languages
Categories
Sub Categories
Keywords
federated-learning
8
deep-learning
5
pytorch
4
machine-learning
4
privacy
2
secure-multiparty-computation
2
secure-computation
2
private-set-intersection
2
tensorflow
2
differential-privacy
2
homomorphic-encryption
2
trusted-execution-environment
1
partitioned-data
1
psi
1
split-neural-network
1
splitnn
1
vertical-federated-learning
1
benchmark
1
dataset
1
split-learning
1
privacy-preserving
1
data-analysis
1
confidential-computing
1
syft
1
python
1
cryptography
1
dpsgd
1
winograd-algorithm
1
vulkan
1
mnn
1
ml
1
embedded-devices
1
deep-neural-networks
1
convolution
1
arm
1
pytorch-federated-learning
1
fedlab
1
federated-learning-framework
1
zero-knowledge-proofs
1
privacy-preserving-machine-learning
1
scikit-learn
1
keras-tensorflow
1
fleet-learning
1
fedml
1
federated-machine-learning
1
edge-ml
1
edge-ai
1
osdi
1
mlsys
1
icml
1