8 citations · 10 across the 3 of their papers we have counts for
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cs.LG2022★ 2 cited
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning
Jialiang Han, Yudong Han, Gang Huang +1
Federated learning (FL) is an emerging promising paradigm of privacy-preserving machine learning (ML). An important type of FL is cross-silo FL, which enables a small scale of orga…
cs.LG2022★ 8 cited
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning
Jialiang Han, Yun Ma, Yudong Han
Federated learning (FL) is an emerging promising privacy-preserving machine learning paradigm and has raised more and more attention from researchers and developers. FL keeps users…