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Jul, 2022
在联邦学习中协调安全性和通信效率
Reconciling Security and Communication Efficiency in Federated Learning
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Karthik Prasad, Sayan Ghosh, Graham Cormode, Ilya Mironov, Ashkan Yousefpour...
TL;DR
本文解决了跨设备联邦学习中通信效率问题并提出了一种基于安全聚合的压缩方法,使得在保证通信安全的前提下能够实现高效联邦学习。
Abstract
cross-device
federated learning
is an increasingly popular machine learning setting to train a model by leveraging a large population of client devices with high privacy and security guarantees. However,
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