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Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification

Oct 29, 2020
Saurabh Agarwal, Hongyi Wang, Kangwook Lee, Shivaram Venkataraman, Dimitris Papailiopoulos


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Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms

Jul 30, 2020
Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu

* Bioinformatics 2020 
* This article has been accepted for publication in Bioinformatics Published by Oxford University Press 

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FedML: A Research Library and Benchmark for Federated Machine Learning

Jul 27, 2020
Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

* We maintain the source code, documents, and user community at https://fedml.ai 

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Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

Jul 09, 2020
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris Papailiopoulos


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Federated Learning with Matched Averaging

Feb 15, 2020
Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris Papailiopoulos, Yasaman Khazaeni

* Accepted by ICLR 2020 

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DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation

Jul 29, 2019
Shashank Rajput, Hongyi Wang, Zachary Charles, Dimitris Papailiopoulos


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ErasureHead: Distributed Gradient Descent without Delays Using Approximate Gradient Coding

Jan 28, 2019
Hongyi Wang, Zachary Charles, Dimitris Papailiopoulos


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ATOMO: Communication-efficient Learning via Atomic Sparsification

Jun 24, 2018
Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris Papailiopoulos, Stephen Wright


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DRACO: Byzantine-resilient Distributed Training via Redundant Gradients

Jun 22, 2018
Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris Papailiopoulos

* Accepted by ICML 2018 

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The Effect of Network Width on the Performance of Large-batch Training

Jun 11, 2018
Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris Papailiopoulos, Paraschos Koutris


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