PhD Student
International Conference on Machine Learning (ICML) Enhancing LLM Training via Spectral Clipping
International Conference on Learning Representations (ICLR) FedMuon: Federated Learning with Bias-corrected LMO-based Optimization
International Conference on Learning Representations (ICLR) Non-Convex Federated Optimization under Cost-Aware Client Selection
International Conference on Machine Learning (ICML)
International Conference on Learning Representations-Workshop (ICLR-W) LoRAM: Low-Rank Adaptation of Large Language Models on Manifold
Conference on Neural Information Processing Systems (NeurIPS) Stabilized Proximal Point Methods for Federated Optimization
Conference on Neural Information Processing Systems (NeurIPS) Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
International Conference on Machine Learning (ICML) Federated Optimization with Doubly Regularized Drift Correction
International Conference on Learning Representations (ICLR) An improved analysis of per-sample and per-update clipping in federated learning
Conference on Neural Information Processing Systems (NeurIPS) Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction