amitashnanda / fl-reading-list

Federated Learning Reading List and Notes

FL-Reading-List

Federated Learning Reading List and Notes

[Update: Jan, 2023]

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Overview

• Papers
• Tutorials
• Codes

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Papers

• "Communication-Efficient Learning of Deep Networks from Decentralized Data", 2017. [Paper]
• "Federated Learning on Non-IID Data Silos: An Experimental Study", [Paper]
• "Three approaches for personalization with applications to federated learning", [Paper]
• "Advances and open problems in federated learning", [Paper]
• "Federated learning: Challenges, methods, and future directions", [Paper]

Tutorials

• "Federated Learning Tutorials", [Website]
• "Federated Learning, YouTube", [Website]
• "Virginia Smith-Workshop", [Website]
• "Virginia Smith-ML Seminars", [Paper]
• "Towards Fair Federated Learning", [Website]

Codes

• "Simple PyTorch", [Code]
• "NIID-Bench", [Code]
• "Another", [Code]

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