v1v2 (latest)

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"

50 / 51 papers shown

Title
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Won-Jun Jang Hyeon-Seo Park Si-Hyeon Lee FedML 486 0 0 10 Feb 2025
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 79 15 0 26 Aug 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li Xinyi Shang Rui He Tao R. Lin Chao Wu FedML 99 55 0 17 Mar 2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training Zhenheng Tang Xiaowen Chu Ryan Yide Ran Sunwoo Lee Shaoshuai Shi Yonggang Zhang Yuxin Wang Alex Liang A. Avestimehr Chaoyang He FedML 67 10 0 03 Mar 2023
DoCoFL: Downlink Compression for Cross-Device Federated Learning Ron Dorfman S. Vargaftik Y. Ben-Itzhak Kfir Y. Levy FedML 82 22 0 01 Feb 2023
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices Kartik Gupta Marios Fournarakis M. Reisser Christos Louizos Markus Nagel FedML 61 16 0 22 Jun 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinfu He Bo Han Xiaowen Chu FedML 99 76 0 06 Jun 2022
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He Alay Dilipbhai Shah Zhenheng Tang Adarshan Naiynar Sivashunmugam Keerti Bhogaraju Mita Shimpi Li Shen Xiaowen Chu Mahdi Soltanolkotabi Salman Avestimehr VLM FedML 91 69 0 22 Nov 2021
Federated Learning Based on Dynamic Regularization D. A. E. Acar Yue Zhao Ramon Matas Navarro Matthew Mattina P. Whatmough Venkatesh Saligrama FedML 81 781 0 08 Nov 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning Ji Lin Wei-Ming Chen Han Cai Chuang Gan Song Han 90 159 0 28 Oct 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 110 76 0 27 Oct 2021
FedMix: Approximation of Mixup under Mean Augmented Federated Learning Tehrim Yoon Sumin Shin Sung Ju Hwang Eunho Yang FedML 76 172 0 01 Jul 2021
On Large-Cohort Training for Federated Learning Zachary B. Charles Zachary Garrett Zhouyuan Huo Sergei Shmulyian Virginia Smith FedML 77 112 0 15 Jun 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 94 344 0 09 Jun 2021
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale Fan Lai Yinwei Dai Sanjay Sri Vallabh Singapuram Jiachen Liu Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML 109 204 0 24 May 2021
Model-Contrastive Federated Learning Qinbin Li Bingsheng He Basel Alomair FedML 102 1,056 0 30 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 332 874 0 01 Mar 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 168 992 0 03 Feb 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang Minghong Fang Jia Liu FedML 88 261 0 27 Jan 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 172 125 0 24 Oct 2020
Oort: Efficient Federated Learning via Guided Participant Selection Fan Lai Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML OODD 126 275 0 12 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 157 408 0 03 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 247 577 0 27 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 130 159 0 21 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 73 1,352 0 15 Jul 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 59 111 0 09 Jun 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 92 589 0 25 Apr 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U. Stich FedML 87 515 0 23 Mar 2020
Federated Visual Classification with Real-World Data Distribution T. Hsu Qi Matthew Brown FedML 139 202 0 18 Mar 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 190 1,452 0 29 Feb 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 120 564 0 06 Jan 2020
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Hong Chang Virat Shejwalkar Reza Shokri Amir Houmansadr FedML 83 169 0 24 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 275 6,294 0 10 Dec 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 104 862 0 08 Oct 2019
Active Federated Learning Jack Goetz Kshitiz Malik D. Bui Seungwhan Moon Honglei Liu Anuj Kumar FedML 61 138 0 27 Sep 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 150 1,164 0 13 Sep 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 130 1,006 0 23 Jul 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation Chen-Yu Lee Tanmay Batra M. H. Baig Daniel Ulbricht 144 543 0 10 Mar 2019
VC Classes are Adversarially Robustly Learnable, but Only Improperly Omar Montasser Steve Hanneke Nathan Srebro 47 141 0 12 Feb 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 105 228 0 20 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 625 10,595 0 12 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 158 1,424 0 03 Dec 2018
Training Neural Networks Using Features Replay Zhouyuan Huo Bin Gu Heng-Chiao Huang 79 70 0 12 Jul 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Towards Practical Differential Privacy for SQL Queries Noah M. Johnson Joseph P. Near Basel Alomair 56 269 0 28 Jun 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent Xiangru Lian Ce Zhang Huan Zhang Cho-Jui Hsieh Wei Zhang Ji Liu 68 1,235 0 25 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,721 0 15 Mar 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 312 4,657 0 18 Oct 2016
Decoupled Neural Interfaces using Synthetic Gradients Max Jaderberg Wojciech M. Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu 92 358 0 18 Aug 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 412 17,615 0 17 Feb 2016