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Honglin Yuan

Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective

Nov 05, 2021
Margalit Glasgow, Honglin Yuan, Tengyu Ma

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* 47 pages. First two authors contributed equally

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Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales

Nov 04, 2021
Jonathan Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan

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* 95 pages, 4 figures; authors are listed in alphabetical order

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What Do We Mean by Generalization in Federated Learning?

Oct 27, 2021
Honglin Yuan, Warren Morningstar, Lin Ning, Karan Singhal

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* Accepted to NeurIPS 2021 Workshop on New Frontiers in Federated Learning. Code repository see https://github.com/google-research/federated

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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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Federated Composite Optimization

Nov 17, 2020
Honglin Yuan, Manzil Zaheer, Sashank Reddi

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* 45 pages, 14 figures

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SHREC 2020 track: 6D Object Pose Estimation

Oct 19, 2020
Honglin Yuan, Remco C. Veltkamp, Georgios Albanis, Nikolaos Zioulis, Dimitrios Zarpalas, Petros Daras

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* Eurographics Workshop on 3D Object Retrieval (2020)

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Federated Accelerated Stochastic Gradient Descent

Jun 19, 2020
Honglin Yuan, Tengyu Ma

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* 76 pages, 7 figures, 2 tables

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