22
Publications
5.1K
Citations
15
H-Index
2013
Active since
Affiliations
Zachary Charles is an author at University of Wisconsin–Madison specializing in data science, engineering, and computer science.
Top concepts
EngineeringComputer ScienceMachine LearningData ScienceDistributed LearningDeep LearningFederated LearningParallel ComputingCluster ComputingParallel Programming
Publications per year
2013–2022
22
22
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent et al. · Foundations and Trends® in Machine Learning · 2020 · 4.2K citations · Full text
A Field Guide to Federated Optimization
Jianyu Wang, Zachary Charles, Zheng Xu et al. · arXiv (Cornell University) · 2021 · 167 citations · Full text
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang, Scott Sievert, Zachary Charles et al. · arXiv (Cornell University) · 2018 · 129 citations · Full text
Adaptive Federated Optimization
Sashank J. Reddi, Zachary Charles, Manzil Zaheer et al. · arXiv (Cornell University) · 2020 · 128 citations · Full text
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang, Scott Sievert, Shengchao Liu et al. · arXiv (Cornell University) · 2018 · 105 citations · Full text
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