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Federated learning (FL) is a distributed machine learning (ML) paradigm, allowing multiple clients to collaboratively train shared machine learning (ML) models without exposing clients' data privacy.
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FedML: A Research Library and Benchmark for Federated Machine Learning
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FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. In International Conference on Machine Learning, ICML 2022
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A Systematic Literature Review on Federated Machine Learning: From a Software Engineering Perspective
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Our Dataset for the Study of FL bugs
2023 · 2023
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Junjie Chen, Yihua Liang, Qingchao Shen, Jiajun Jiang, and Shuochuan Li. 2023 · 2023
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FedTree: A Federated Learning System For Trees. In Proceedings of Machine Learning and Systems
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FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
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