Jiang, Xiaowen

10 publications

ICML 2025 Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization Yuki Takezawa, Xiaowen Jiang, Anton Rodomanov, Sebastian U Stich

ICLRW 2025 LoRAM: Low-Rank Adaptation of Large Language Models on Manifold Xiaowen Jiang, Xun Wang, Sebastian U Stich

ICLR 2024 An Improved Analysis of Per-Sample and Per-Update Clipping in Federated Learning Bo Li, Xiaowen Jiang, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U Stich

ICML 2024 Federated Optimization with Doubly Regularized Drift Correction Xiaowen Jiang, Anton Rodomanov, Sebastian U Stich

NeurIPS 2024 Stabilized Proximal-Point Methods for Federated Optimization Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich

NeurIPS 2024 Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction Anton Rodomanov, Xiaowen Jiang, Sebastian Stich

NeurIPS 2023 Adaptive SGD with Polyak Stepsize and Line-Search: Robust Convergence and Variance Reduction Xiaowen Jiang, Sebastian U Stich

NeurIPSW 2023 Diversity-Adjusted Adaptive Step Size Parham Yazdkhasti, Xiaowen Jiang, Sebastian U Stich

CVPRW 2022 A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps Xiaowen Jiang, Valerio Cambareri, Gianluca Agresti, Cynthia Ifeyinwa Ugwu, Adriano Simonetto, Fabien Cardinaux, Pietro Zanuttigh

ECCVW 2020 IdleSR: Efficient Super-Resolution Network with Multi-Scale IdleBlocks Dongliang Xiong, Kai Huang, Haitian Jiang, Bowen Li, Siang Chen, Xiaowen Jiang