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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Jiang Zhou

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3 papers indexed here

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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
#artificial intelligence Preprint Oct 2026

Answer-Only Disclosure: Private-Context LLM Assistance over Web APIs with a Leakage Ledger

ADLER is presented, a decoding protocol for streaming LLM APIs in which every message to the cloud depends only on the public view and the answer the user sees, regardless of how the client combines the two models or how the cloud behaves.

Liang Yuan, Xiao-Hu Du, Rui-Kun Luo et al. · 0 citations

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