FL_PyTorch-Reference-Cited by-同舟云学术

FL_PyTorch

Published:2021-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd ACM International Workshop on Distributed Machine Learning
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Author:

Burlachenko Konstantin¹,Horváth Samuel¹,Richtárik Peter¹

Affiliation:

1. KAUST, Thuwal, KSA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488659.3493775

Reference37 articles.

1. QSGD: Communication-efficient SGD via gradient quantization and encoding;Alistarh Dan;Advances in Neural Information Processing Systems,2017

2. Apple. 2019. Designing for Privacy (video and slide deck). Apple WWDC https://developer.apple.com/videos/play/wwdc2019/708. Apple. 2019. Designing for Privacy (video and slide deck). Apple WWDC https://developer.apple.com/videos/play/wwdc2019/708.

3. James Henry Bell Kallista A. Bonawitz Adrià Gascón Tancrède Lepoint and Mariana Raykova. 2020. Secure Single-Server Aggregation with (Poly)Logarithmic Overhead. In CCS. ACM 1253--1269. James Henry Bell Kallista A. Bonawitz Adrià Gascón Tancrède Lepoint and Mariana Raykova. 2020. Secure Single-Server Aggregation with (Poly)Logarithmic Overhead. In CCS. ACM 1253--1269.

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1. Federated Learning is Better with Non-Homomorphic Encryption;Proceedings of the 4th International Workshop on Distributed Machine Learning;2023-12-05

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3. Towards predicting client benefit and contribution in federated learning from data imbalance;Proceedings of the 3rd International Workshop on Distributed Machine Learning;2022-12-06

4. A Flexible Distributed Building Simulator for Federated Reinforcement Learning;2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS);2022-08-01