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May, 2024
联邦生成模型的系统回顾
A Systematic Review of Federated Generative Models
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Ashkan Vedadi Gargary, Emiliano De Cristofaro
TL;DR
综述了2019年至2024年间的涉及联邦学习和生成模型的研究，系统比较了近100篇论文的方法和隐私问题，强调了最新的进展和未解决的挑战，为未来的研究提供了洞见。
Abstract
federated learning
(FL) has emerged as a solution for
distributed systems
that allow clients to train models on their data and only share models instead of local data.
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