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