most citedTowards Federated Learning against Noisy Labels via Local Self-Regularization

63 citations · 63 across the 1 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…