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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

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Yu-Can Zhou

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Book Open access Nov 2026

Release the Potential of Relative Feature Consistency for Data Heterogeneous Federated Learning

Federated Learning is a promising paradigm to achieve privacy-preserving collaborative training. However, its performance degrades severely under data heterogeneity. A main obstacle is the divergent local representations induced by data heterogeneity, which will degrade the quality of the aggregated global representati...

Yi-Bin Wang, Yu-Can Zhou, Xiao-Yan Gu et al. · 0 citations
#federated learning Book Open access Nov 2026

Release the Potential of Relative Feature Consistency for Data Heterogeneous Federated Learning

Federated Learning is a promising paradigm to achieve privacy-preserving collaborative training. However, its performance degrades severely under data heterogeneity. A main obstacle is the divergent local representations induced by data heterogeneity, which will degrade the quality of the aggregated global representati...

Yi-Bin Wang, Yu-Can Zhou, Xiao-Yan Gu et al. · 0 citations

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