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.· Proceedings of the 35th ACM...· 0 citations
CriticRouter is a verifier-free step-wise routing framework that reduces redundancy based on structural criticality as a routing signal, and achieves comparable accuracy to standard LLM reasoning while significantly reducing latency, demonstrating a better utility-efficiency trade-off.
Yi-Bin Wang, Xiyu Liu, Xiao-Ying Jiang et al.· Proceedings of the 35th ACM...· 0 citations
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.· Proceedings of the 35th ACM...· 0 citations
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