Yan Sun

Convergent Differential Privacy Analysis for General Federated Learning

MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs

Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning

TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs

SimReg: Achieving Higher Convergence and Generalization in the LLM Pretraining via Embedding Similarity Regularization

Stability and Generalization of Split Learning : Sequential or Federated

Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives

Convergent Differential Privacy Analysis for General Federated Learning