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• Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning
  2022 · 3 citations
• Federated Multi-Objective Learning
  2023 · 3 citations
• Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
  2025
• Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach
  2025
• Exploring Pose-Guided Imitation Learning for Robotic Precise Insertion
  2025
• Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
  2024
• NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data
  2022
• SAGDA: Achieving $\mathcalO(ε^-2)$ Communication Complexity in Federated Min-Max Learning
  2022
• Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
  2024
• Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
  2024
• Adversarial Attacks to Multi-Modal Models
  2024