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