H. Brendan McMahan

Publications by Year

Research Areas

Privacy-Preserving Technologies in Data, Stochastic Gradient Optimization Techniques, Advanced Bandit Algorithms Research, Cryptography and Data Security, Machine Learning and Algorithms

Most-Cited Works

• → Deep Learning with Differential Privacy(2016)5,620 cited
• → Communication-Efficient Learning of Deep Networks from Decentralized Data(2016)5,172 cited
• → Advances and Open Problems in Federated Learning(2020)4,353 cited
• → Practical Secure Aggregation for Privacy-Preserving Machine Learning(2017)3,268 cited
• → Federated Learning: Strategies for Improving Communication Efficiency(2016)3,046 cited
• → Federated Optimization: Distributed Machine Learning for On-Device Intelligence(2016)1,652 cited
• Federated Learning of Deep Networks using Model Averaging(2016)
• → Towards Federated Learning at Scale: System Design(2019)954 cited
• → Ad click prediction(2013)871 cited
• → Learning Differentially Private Recurrent Language Models(2017)670 cited