Skip to content
Log in
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

Xiao-Shan Yang

h-index 26 View on Semantic Scholar

We have 2 of 100 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Oct 2026

PFedMA: Who Should Join Next as Federated Multi-Agent Orchestration Evolves?

Federated Multi-Agent Systems (FedMAS) offer a promising paradigm for collaborative reasoning among LLM-based agents while keeping raw client data decentralized. However, reliable multi-round collaboration remains challenging. Agent selection must take into consideration evolving task requirements and the agent's histo...

Shuai Li, Sheng-Yuan Liu, Fan Qi et al. · 0 citations
Jul 2026

Fed-DiffLoRA: Personalized Federated Style Transfer for T2I Diffusion Models

Low-Rank Adaptation (LoRA) merging enables efficient customization of T2I diffusion models; nevertheless, centralized aggregation raises serious privacy concerns. While federated LoRA adaptations mitigate these risks, diffusion models present unique challenges: structural heterogeneity and vulnerability to member infer...

Fan Qi, Yue Cheng, Xiaoshan Yang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.