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Jiayu Zhou

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Aug 2026

Starfish-FL: Harnessing Agentic Federated Analytics

Federated learning (FL) enables privacy-preserving multi-site clinical research, but orchestrating, monitoring, and interpreting federated analyses remains out of reach for the biostatisticians and clinicians who most need them. We present Starfish-FL, a multi-tier agent harness for cross-silo healthcare analytics buil...

Yunkai Bao, Zainab Saad, Farhan Abbas et al. · 1 citation
Book Open access Aug 2026

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

Multi-agent systems (MAS) are enabling increasingly complex, collaborative applications in autonomous driving, smart logistics, robotic coordination, and distributed sensing. Their effectiveness depends on collective intelligence emerging from multiple distributed agents, each operating with partial information and oft...

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

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