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Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
https://github.com/innovation-cat/Awesome-Federated-Machine-Learning
- Chinese Version
- English Version
- Chinese Version
- Github
- English Version
- Survey of Personalization Techniques for Federated Learning
- Three Approaches for Personalization with Applications to Federated Learning
- Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework
- FedRecPapers
- No Free Lunch Theorem for Security and Utility in Federated Learning
- Trading Off Privacy, Utility and Efficiency in Federated Learning
- Probably Approximately Correct Federated Learning
- A Game-theoretic Framework for Federated Learning
- Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning
- Google Workshop on Federated Learning and Analytics 2022
- Google Workshop on Federated Learning and Analytics 2021
- Google Workshop on Federated Learning and Analytics 2020
- Google Federated Learning workshop 2019
- TensorFlow Federated Tutorial Session
- TensorFlow Federated (TFF): Machine Learning on Decentralized Data - Google, TF Dev Summit ‘19 2019
- Federated Learning: Machine Learning on Decentralized Data - Google, Google I/O 2019
- Federated Learning - Cloudera Fast Forward Labs, DataWorks Summit 2019
- GDPR, Data Shortage and AI - Qiang Yang, AAAI 2019 Invited Talk
- Code Tutorial: From Centralized to Federated - Flower Summit 2021
- What is Federated Learning - Nvidia 2019
- Online Federated Learning Comic - Google 2019
- Federated Learning: Collaborative Machine Learning without Centralized Training Data - Google AI Blog 2017
- Go Federated with OpenFL - Intel 2021
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