Zachary Charles
Google (United States)(US)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Stochastic Gradient Optimization Techniques, Adversarial Robustness in Machine Learning, Sparse and Compressive Sensing Techniques, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Advances and Open Problems in Federated Learning(2020)4,363 cited
- → A Field Guide to Federated Optimization(2021)167 cited
- → ATOMO: Communication-efficient Learning via Atomic Sparsification(2018)129 cited
- → Adaptive Federated Optimization(2020)128 cited
- → Stability and Generalization of Learning Algorithms that Converge to\n Global Optima(2017)62 cited
- → Approximate Gradient Coding via Sparse Random Graphs(2017)46 cited
- → ErasureHead: Distributed Gradient Descent without Delays Using Approximate Gradient Coding(2019)43 cited
- → DETOX: A Redundancy-based Framework for Faster and More Robust Gradient\n Aggregation(2019)42 cited
- → DRACO: Byzantine-resilient Distributed Training via Redundant Gradients(2018)31 cited