Haibo Yang

Venues

Frequent coauthors

Papers

1. Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
   ICLR 2025 ·

   Zhe Li

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2. Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
   NeurIPS 2025 ·

   Bicheng Ying

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3. FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning
   IJCAI 2025 ·

   Zhe Li

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4. PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
   AAAI 2025 ·

   Mingjing Xu

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5. STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
   UAI 2025 ·

   Zhuqing Liu

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6. Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
   NeurIPS 2025 ·

   Dandan Liang

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7. Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
   ICML 2024 ·

   Tianchen Zhou

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8. Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
   ICML 2024 · Haibo Yang