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20192022
most citedOvercoming Forgetting in Federated Learning on Non-IID Data

143 citations · 145 across the 3 of their papers we have counts for

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cs.LG2021

An Exploration into why Output Regularization Mitigates Label Noise

Neta Shoham, Tomer Avidor, Nadav Israel

Label noise presents a real challenge for supervised learning algorithms. Consequently, mitigating label noise has attracted immense research in recent years. Noise robust losses i…