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Dec, 2021
SPIDER: 为联邦学习寻找个性化神经架构
SPIDER: Searching Personalized Neural Architecture for Federated Learning
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Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr
TL;DR
SPIDER是一种基于交替优化全局模型和局部模型的神经架构搜索算法框架,在联邦学习中搜索个性化的神经架构,以提高推理效率和模型性能。
Abstract
federated learning
(FL) is an efficient learning framework that assists distributed machine learning when data cannot be shared with a centralized server due to
privacy
and regulatory restrictions. Recent advance
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