Haibo Yang

Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization

Breaking Memory and Communication Barriers in Model-Parallel Fine-Tuning of Large Language Models

SO-Lazy-BiO: Accelerating Bilevel Optimization with Reduced Second-Order Information Computation

CLAMP: A Chebyshev-Weighted Multi-Gradient Approach for Multi-Objective LLM Alignment

Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable

Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach

Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization

A Lazy Hessian Evaluation Framework for Accelerating Stochastic Bilevel Optimization

Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Weighted-Chebyshev Multi-Objective Actor-Critic Approach

FAST: Federated Average with Snapshot Unleashes Arbitrary Client Participation