Review: Federated Learning in 2021�Privacy Budgets, Heterogeneity, and Drift

review
Received: Dec 5, 2021
Published: Dec 31, 2021
Authors: Arjun Chen ✉ Amelia Gonzalez

Abstract

We synthesize lessons from 2021 deployments of federated learning, covering device heterogeneity, non-IID drift, and practical DP budget choices.

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Chen, A. & Gonzalez, A. (2021). Review: Federated Learning in 2021�Privacy Budgets, Heterogeneity, and Drift. Research Explorations in Global Knowledge & Technology (REGKT), 1 (5). Retrieved from https://regkt.com/article.php?id=717&slug=review-federated-learning-privacy-heterogeneity-drift-2021

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