H. Brendan McMahan - Concepedia

Author

H. Brendan McMahan

Also Known As

H. Brendan McMahan, H. Brendan McMahon, H. Brendan. McMahan, H.Brendan McMahan, Hugh Brendan McMahan, Konečný, Jakub, McMahan, Brendan, McMahan, H. Brendan, Mcmahan, H. Brendan

Publications

31K

Citations

H-Index

Concepts

All Affiliations

Google (United States)Carnegie Mellon University Toyota Technological Institute at Chicago University of Edinburgh

About

H. Brendan McMahan is an author at Google (United States) specializing in computer science, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	31	39	20.2K
2	Business	4	4	283
3	Language Studies	4	4	866
4	Education	1	1	10
5	Management	1	1	867

H. Brendan McMahan

Publications

30.5K

Citations

H-Index

Page 1

	Year	Citations
Deep Learning with Differential Privacy Martı́n Abadi, Andy Chu, Ian Goodfellow,	2016	5.5K
Communication-Efficient Learning of Deep Networks from Decentralized Data H. Brendan McMahan, Eider Moore, Daniel Ramage, arXiv (Cornell University) Modern Mobile DevicesDecentralized Machine LearningMachine LearningData ScienceEngineering	2016	5.2K
Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Foundations and Trends® in Machine Learning	2020	4.2K
Practical Secure Aggregation for Privacy-Preserving Machine Learning Keith Bonawitz, Vladimir Ivanov, Ben Kreuter, Privacy ProtectionFailure-robust ProtocolMachine LearningEngineeringInformation Security	2017	3.2K
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konečný, H. Brendan McMahan, Felix X. Yu, arXiv (Cornell University) EngineeringMachine LearningData ScienceEdge ComputingFederated Learning	2016	3K
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konečný, H. Brendan McMahan, Daniel Ramage, arXiv (Cornell University) Artificial IntelligenceCluster ComputingEngineeringMachine LearningDistributed Algorithms	2016	1.7K
Federated Learning of Deep Networks using Model Averaging H. Brendan McMahan, Eider Moore, Daniel Ramage, arXiv (Cornell University) Artificial IntelligenceModern Mobile DevicesEngineeringMachine LearningData Science	2016	984
Towards Federated Learning at Scale: System Design Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceDistributed Algorithms	2019	953
Ad click prediction H. Brendan McMahan, Gary D. Holt, D. Sculley, EngineeringMachine LearningTargeted AdvertisingAd Click-through RatesInformation Retrieval	2013	867
Learning Differentially Private Recurrent Language Models H. Brendan McMahan, Daniel Ramage, Kunal Talwar, arXiv (Cornell University) Artificial IntelligencePrivacy ProtectionEngineeringMachine LearningRecurrent Neural Network	2017	670

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