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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

Junyuan Hong

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#artificial intelligence Oct 2025

LLMs Can Get "Brain Rot"!

The results provide significant, multi-perspective evidence that social effects of data could be a causal driver of LLM capability decay in continual pre-training, thereby motivating routine"cognitive health checks" for deployed and evolving LLMs.

Shuo Xing, Junyuan Hong, Yi-Fan Wang et al. · 3 citations
Book Open access Aug 2026

FedKDD/FedMAS 2026: The 2026 International Joint Workshop on Federated Learning for Multi-agent Systems and Data Mining

This workshop seeks to bring together researchers and practitioners from academia and industry to explore the convergence of federated learning and multi-agent systems, with a focus on scalability, trustworthiness, adaptive coordination, and the broader societal impact of federated multi-agent intelligence.

Hao-Zhao Wang, Zhuangdi Zhu, Zheng Xu et al. · 0 citations

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