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渐进分辨率联邦学习安全聚合

Progressive-Resolution Secure Aggregation for Federated Learning

Seyed Mohammad Azimi-Abarghouyi

arXiv 2610.00695首次发表:更新:

发表机构

Chalmers University of Technology(查尔姆斯理工大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本文提出渐进分辨率安全聚合(PSA),使客户端仅上传一次,即可在无需重新参与的情况下,按需授权获取同一聚合的逐步更精细分辨率,通过嵌套格码与附加聚合填充实现安全性。

AI 中文摘要

安全聚合使服务器能够恢复客户端更新的聚合结果,而无需观察任何单个更新,但传统协议在客户端上传时固定聚合精度。我们引入并形式化了一种新的渐进分辨率安全聚合功能,在该功能中,客户端仅上传一次,随后无需客户端重新参与即可授权对同一聚合的逐步更精细分辨率。为实现此功能,我们提出了渐进分辨率安全聚合(PSA):每个裁剪、抖动后的更新由兼容的嵌套格码数字表示;可单独释放的层受安全聚合保护,并附加一个聚合填充,该填充在非共谋的释放控制器授权该层之前对服务器保持不可用。

英文摘要

Secure aggregation lets a server recover an aggregate of client updates without observing any individual update, but conventional protocols fix the aggregate precision when clients upload. We introduce and formulate a new progressive-resolution secure-aggregation functionality in which clients upload once and successively finer resolutions of the same aggregate can later be authorized without renewed client participation. To realize this functionality, we propose progressive-resolution secure aggregation (PSA): each clipped, dithered update is represented by compatible nested-lattice digits; separately releasable layers are protected by secure aggregation and an additional aggregate pad that remains unavailable to the server until a non-colluding release controller authorizes that layer.

论文原文

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