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Feb, 2020
Turbo-Aggregate: 在安全联邦学习中打破二次聚合障碍
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
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Jinhyun So, Basak Guler, A. Salman Avestimehr
TL;DR
Turbo-Aggregate是一个高效的分布式机器学习模型安全聚合框架,可以在具有N个用户的网络中实现安全聚合的开销为O(NlogN),同时具备一定程度的容错性和用户隐私保护。
Abstract
federated learning
is gaining significant interests as it enables model training over a large volume of data that is distributedly stored over many users, while protecting the
privacy
of the individual users. How
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