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Apr, 2023
个性化和激励式联邦学习
PI-FL: Personalized and Incentivized Federated Learning
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Ahmad Faraz Khan, Xinran Wang, Qi Le, Azal Ahmad Khan, Haider Ali...
TL;DR
本文提出了一种一次性个性化解决方案PI-FL,采用基于令牌的奖励机制来激励客户参与个性化训练,克服了客户不愿意参与联邦学习进程的问题,同时确保客户隐私,该方案表现优于其他现有方法,能够生成高质量的个性化模型。
Abstract
personalized fl
has been widely used to cater to
heterogeneity
challenges with non-IID data. A primary obstacle is considering the personalization process from the client's perspective to preserve their autonomy.
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