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• STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
  2021 · 20 citations
• Parallel Restarted SPIDER -- Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity
  2019 · 13 citations
• Federated Stochastic Approximation under Markov Noise and Heterogeneity: Applications in Reinforcement Learning
  2022 · 13 citations
• FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning
  2022 · 7 citations
• On the Convergence of Federated Averaging with Cyclic Client Participation
  2023 · 7 citations
• Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
  2022 · 6 citations
• Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction
  2020 · 1 citations
• FedAST: Federated Asynchronous Simultaneous Training
  2024 · 1 citations
• Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning