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Jun, 2023
使用深度展开网络改进联邦聚合
Improving Federated Aggregation with Deep Unfolding Networks
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Shanika I Nanayakkara, Shiva Raj Pokhrel, Gang Li
TL;DR
提出了一种基于深度展开网络（DUN）的技术，通过学习自适应权重来消除异构性的不利影响，从而有效地解决了参与客户端异构性和FL环境下的质量感知聚合问题。
Abstract
The performance of
federated learning
(FL) is negatively affected by device differences and statistical characteristics between participating clients. To address this issue, we introduce a
deep unfolding network
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