63 citations · 183 across the 24 of their papers we have counts for
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cs.LG2022★ 63 cited
Towards Federated Learning against Noisy Labels via Local Self-Regularization
Xuefeng Jiang, Sheng Sun, Yuwei Wang +1
Federated learning (FL) aims to learn joint knowledge from a large scale of decentralized devices with labeled data in a privacy-preserving manner. However, since high-quality labe…
cs.LG2022★ 4 cited
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation
Zhiyuan Wu, Sheng Sun, Yuwei Wang +5
Federated learning (FL) is a privacy-preserving machine learning paradigm in which the server periodically aggregates local model parameters from clients without assembling their p…