arXiv cs.LG· Rafael Garcia-Dias, Alexandre Triay Bagur, Chayanin Tangwiriyasakul, Virginia Fernandez, Parhom Esmaeili, Piyalitt Ittichaiwong, Yang Li, Lawrence Adams, Wason Buncharoen, Martin Chapman, Benjamaporn Chayanond, Sadthavud Chunrod, Tanawat Fongsri, Kass Gibson, Supat Plungprasertkul, Supawit Tangpanithandee, Kanyakorn Veerakanjana, Vicky Goh, Michela Antonelli, Joe Zhang, Kongkiat Kespechara, Sebastien Ourselin, M. Jorge Cardoso·· 2026-09-30AI 评分34
利用 FLIP 实现跨大洲联邦学习的可重复性：多应用研究
Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study
AI 导读
研究人员推出开源平台 FLIP（Federated Learning Interoperability Platform），旨在使跨大洲医疗联邦学习的训练与评估具备可重复性与可审计性。
来源：arXiv cs.LG · arxiv.org