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Apr, 2021
FL-AGCNS:用于自动图卷积网络搜索的联邦学习框架
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search
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Chunnan Wang, Bozhou Chen, Geng Li, Hongzhi Wang
TL;DR
提出了一种基于进化优化策略以及GCN SuperNet和参数共享策略的FL-AGCNS算法,该算法适用于分布式和私有数据集的联邦学习场景,实验结果表明,在FL框架下,FL-AGCNS显著优于当前最先进的NAS方法和GCN模型。
Abstract
Recently, some
neural architecture search
(NAS) techniques are proposed for the automatic design of
graph convolutional network
(GCN) architectures. They bring great convenience to the use of GCN, but could hardl
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