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Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning


Aug 19, 2022
Zachary Charles, Kallista Bonawitz, Stanislav Chiknavaryan, Brendan McMahan, Blaise Agüera y Arcas

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Motley: Benchmarking Heterogeneity and Personalization in Federated Learning


Jun 18, 2022
Shanshan Wu, Tian Li, Zachary Charles, Yu Xiao, Ziyu Liu, Zheng Xu, Virginia Smith

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* 35 pages, 9 figures, 5 tables. Code: https://github.com/google-research/federated/tree/master/personalization_benchmark 

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Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory


Jan 07, 2022
Nicole Mitchell, Johannes Ballé, Zachary Charles, Jakub Konečný

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Iterated Vector Fields and Conservatism, with Applications to Federated Learning


Sep 08, 2021
Zachary Charles, Keith Rush

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A Field Guide to Federated Optimization


Jul 14, 2021
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Aguera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecny, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtarik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu

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On Large-Cohort Training for Federated Learning


Jun 15, 2021
Zachary Charles, Zachary Garrett, Zhouyuan Huo, Sergei Shmulyian, Virginia Smith

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Local Adaptivity in Federated Learning: Convergence and Consistency


Jun 04, 2021
Jianyu Wang, Zheng Xu, Zachary Garrett, Zachary Charles, Luyang Liu, Gauri Joshi

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Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning


Mar 08, 2021
Zachary Charles, Jakub Konečný

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* Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021. PMLR: Volume 130 

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On the Outsized Importance of Learning Rates in Local Update Methods


Jul 02, 2020
Zachary Charles, Jakub Konečný

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Adaptive Federated Optimization


Feb 29, 2020
Sashank Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konečný, Sanjiv Kumar, H. Brendan McMahan

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