Ananda Theertha Suresh
Google (United States)(US)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Machine Learning and Algorithms, Statistical Methods and Inference, Stochastic Gradient Optimization Techniques, Cryptography and Data Security
Most-Cited Works
- → Federated Learning: Strategies for Improving Communication Efficiency(2016)3,046 cited
- → Can You Really Backdoor Federated Learning?(2019)368 cited
- → Three Approaches for Personalization with Applications to Federated Learning(2020)320 cited
- → Agnostic Federated Learning(2019)259 cited
- SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning.(2019)
- → cpSGD: Communication-efficient and differentially-private distributed SGD(2018)184 cited
- → A Field Guide to Federated Optimization(2021)167 cited
- → Distributed Mean Estimation with Limited Communication(2016)148 cited