Publication

FLEET: Online Federated Learning via Staleness Awareness and Performance Prediction

Rachid Guerraoui, Anne-Marie Kermarrec, Rhicheek Patra
2022
Journal Articles

Abstract

Federated learning (FL) is very appealing for its privacy benefits: essentially, a global model is trained with updates computed on mobile devices while keeping the data of users local. Standard FL infrastructures are however designed to have no energy or performance impact on mobile devices, and are therefore not suitable for applications that require frequent (online) model updates, such as news recommenders.

Official source

https://infoscience.epfl.ch/entities/publication/3ec76ec0-102b-45d0-a9ea-a46260bf7632

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FLEET: Online Federated Learning via Staleness Awareness and Performance Prediction

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