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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

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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