Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization-Reference-Cited by-同舟云学术

Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization

Published:2021-04-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st Workshop on Machine Learning and Systems
language:
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Author:

Abdelmoniem Ahmed M.¹,Canini Marco¹

Affiliation:

1. KAUST, Saudi Arabia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3437984.3458839

Reference41 articles.

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4. Ahmed M. Abdelmoniem Chen-Yu Ho Pantelis Papageorgiou Muhammad Bilal and Marco Canini. 2021. On the Impact of Device and Behavioral Heterogeneity in Federated Learning. arXiv:2102.07500 [cs.LG] Ahmed M. Abdelmoniem Chen-Yu Ho Pantelis Papageorgiou Muhammad Bilal and Marco Canini. 2021. On the Impact of Device and Behavioral Heterogeneity in Federated Learning. arXiv:2102.07500 [cs.LG]

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