FedImpro: Measuring and Improving Client Update in Federated Learning

FedImpro: Measuring and Improving Client Update in Federated Learning

10 February 2024

Xinmei Tian

Bo Han

Papers citing "FedImpro: Measuring and Improving Client Update in Federated Learning"

17 / 17 papers shown

Title
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Won-Jun Jang Hyeon-Seo Park Si-Hyeon Lee FedML 169 0 0 20 May 2025
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 49 6 0 27 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma Chao Pan Rasoul Etesami Han Zhao Olgica Milenković FedML AAML 31 0 0 16 Oct 2024
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression Zhenheng Tang Xueze Kang Yiming Yin Xinglin Pan Yuxin Wang ... Shaohuai Shi Amelie Chi Zhou Bo Li Bingsheng He Xiaowen Chu AI4CE 73 8 0 16 Oct 2024
GAS: Generative Activation-Aided Asynchronous Split Federated Learning Jiarong Yang Yuan Liu 33 0 0 02 Sep 2024
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning Zichen Tang Junlin Huang Rudan Yan Yuxin Wang Zhenheng Tang S. Shi Amelie Chi Zhou Xiaowen Chu FedML 50 2 0 27 Aug 2024
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs Peijie Dong Lujun Li Dayou Du Yuhan Chen Zhenheng Tang ... Wei Xue Wenhan Luo Qi-fei Liu Yi-Ting Guo Xiaowen Chu MQ 47 4 0 03 Aug 2024
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models Peijie Dong Lujun Li Zhenheng Tang Xiang Liu Xinglin Pan Qiang-qiang Wang Xiaowen Chu 58 23 0 05 Jun 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning Rui Pan Xiang Liu Shizhe Diao Renjie Pi Jipeng Zhang Chi Han Tong Zhang 38 36 0 26 Mar 2024
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 36 51 0 21 Feb 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo Xiaoying Tang Tao R. Lin FedML 54 27 0 26 May 2022
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 87 946 0 03 Feb 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 114 123 0 24 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,354 0 12 Dec 2018