Zachary Charles - Concepedia

Author

Zachary Charles

University of Wisconsin–Madison ORCID

Also Known As

Charles, Zachary, Charles, Zachary B., Shah, Shrey, Zachary B. Charles, Zachary Charles

Publications

5.2K

Citations

H-Index

Concepts

All Affiliations

University of Wisconsin–Madison Google (United States)

About

Zachary Charles is an author at University of Wisconsin–Madison specializing in data science, engineering, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	16	796
2	Computer Science	13	16	796
3	Data Science	13	14	731
4	Computer Engineering	4	4	323
5	Education	1	1	13

Zachary Charles

Publications

5.1K

Citations

H-Index

Page 1

	Year	Citations
Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Foundations and Trends® in Machine Learning	2020	4.2K
A Field Guide to Federated Optimization Jianyu Wang, Zachary Charles, Zheng Xu, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningDistributed AlgorithmsFederated Structure	2021	167
ATOMO: Communication-efficient Learning via Atomic Sparsification Hongyi Wang, Scott Sievert, Zachary Charles, arXiv (Cornell University) EngineeringMachine LearningStochastic GradientsNeural Networks GradientsData Science	2018	129
Adaptive Federated Optimization Sashank J. Reddi, Zachary Charles, Manzil Zaheer, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceAdaptive Federated Optimization	2020	128
ATOMO: Communication-efficient Learning via Atomic Sparsification Hongyi Wang, Scott Sievert, Shengchao Liu, arXiv (Cornell University) EngineeringMachine LearningData ScienceAtomic SparsificationSparse Neural Network	2018	105
Stability and Generalization of Learning Algorithms that Converge to\n Global Optima Zachary Charles, Dimitris Papailiopoulos arXiv (Cornell University)	2017	62
Approximate Gradient Coding via Sparse Random Graphs Zachary Charles, Dimitris Papailiopoulos, Jordan S. Ellenberg arXiv (Cornell University) Cluster ComputingGraph SparsityEngineeringMachine LearningDistributed Algorithms	2017	46
ErasureHead: Distributed Gradient Descent without Delays Using Approximate Gradient Coding Hongyi Wang, Zachary Charles, Dimitris Papailiopoulos arXiv (Cornell University) Cluster ComputingGradient DescentEngineeringMachine LearningDistributed Algorithms	2019	43
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient\n Aggregation Shashank Rajput, Hongyi Wang, Zachary Charles, arXiv (Cornell University)	2019	42
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients Lingjiao Chen, Hongyi Wang, Zachary Charles, arXiv (Cornell University) Cluster ComputingEngineeringMachine LearningDistributed AlgorithmsDistributed Ai System	2018	30

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