Virginia Smith
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Stochastic Gradient Optimization Techniques, Machine Learning and Data Classification, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications
Most-Cited Works
- → Federated Optimization in Heterogeneous Networks(2018)451 cited
- → Fair Resource Allocation in Federated Learning(2019)352 cited
- → LEAF: A Benchmark for Federated Settings(2018)285 cited
- On the Convergence of Federated Optimization in Heterogeneous Networks.(2018)
- → Ditto: Fair and Robust Federated Learning Through Personalization(2020)218 cited
- → Distributed optimization with arbitrary local solvers(2017)195 cited
- → A Field Guide to Federated Optimization(2021)167 cited
- → CoCoA: A General Framework for Communication-Efficient Distributed Optimization(2018)145 cited
- → MLI: An API for Distributed Machine Learning(2013)144 cited
- → One-Shot Federated Learning(2019)138 cited