What Do We Mean by Generalization in Federated Learning?

27 October 2021

Papers citing "What Do We Mean by Generalization in Federated Learning?"

50 / 52 papers shown

Title
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Tianyi Zhou Qinghua Lu Shanshan Ye Jing Jiang OODD 168 1 0 02 May 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework Ziqiao Wang Cheng Long Yongyi Mao FedML 52 0 0 06 Mar 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective Masoud Kavian Milad Sefidgaran A. Zaidi Romain Chor FedML 45 1 0 03 Mar 2025
FAA-CLIP: Federated Adversarial Adaptation of CLIP Yihang Wu A. Chaddad Christian Desrosiers Tareef Daqqaq R. Kateb VLM 51 0 0 26 Feb 2025
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 30 2 0 02 Nov 2024
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett FedML 29 1 0 28 Oct 2024
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
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 46 2 0 15 Oct 2024
Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo Tianbao Yang FedML 30 0 0 08 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 43 4 0 07 Oct 2024
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch Sunny Gupta Mohit Jindal Pankhi Kashyap Pranav Jeevan Amit Sethi FedML 31 0 0 23 Sep 2024
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? Peizhong Ju Haibo Yang Jia Liu Yingbin Liang Ness B. Shroff FedML 31 0 0 05 Sep 2024
Reducing Spurious Correlation for Federated Domain Generalization Shuran Ma Weiying Xie Daixun Li Haowei Li Yunsong Li OOD FedML 54 1 0 27 Jul 2024
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data Ziqing Fan Ruipeng Zhang Jiangchao Yao Bo Han Ya-Qin Zhang Yanfeng Wang FedML 32 12 0 29 May 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 33 4 0 13 Apr 2024
Improving Group Connectivity for Generalization of Federated Deep Learning Zexi Li Jie Lin Zhiqi Li Didi Zhu Chao Wu AI4CE FedML 38 0 0 29 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 19 13 0 10 Feb 2024
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning Yuchang Sun Marios Kountouris Jun Zhang FedML 35 2 0 24 Jan 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 44 1 0 23 Jan 2024
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning Jian Li Yong Liu Wei Wang Haoran Wu Weiping Wang FedML 23 2 0 05 Jan 2024
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe Stefan Duffner Carole Lartizien FedML 35 2 0 17 Oct 2023
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients Zheshun Wu Zenglin Xu Dun Zeng Qifan Wang Jie Liu FedML 27 1 0 11 Oct 2023
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout Pengfei Guo Warren Morningstar Raviteja Vemulapalli K. Singhal Vishal M. Patel Philip Mansfield FedML 24 3 0 11 Sep 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 37 12 0 11 Jul 2023
Federated Learning under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya Fanghui Liu Thomas Pethick Grigorios G. Chrysos V. Cevher FedML OOD 15 6 0 08 Jun 2023
Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi Joshua V. Dillon Philip Mansfield K. Singhal Arash Afkanpour Warren Morningstar FedML BDL 18 3 0 23 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 108 47 0 04 May 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 41 54 0 17 Mar 2023
Making Batch Normalization Great in Federated Deep Learning Jike Zhong Hong-You Chen Wei-Lun Chao FedML 21 9 0 12 Mar 2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning Wang Lu Xixu Hu Jindong Wang Xingxu Xie FedML VLM 23 52 0 27 Feb 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 25 28 0 30 Jan 2023
On Noisy Evaluation in Federated Hyperparameter Tuning Kevin Kuo Pratiksha Thaker M. Khodak John Nguyen Daniel Jiang Ameet Talwalkar Virginia Smith FedML 37 8 0 17 Dec 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan Yixin Liu Guodong Long Jing Jiang Qinghua Lu Chengqi Zhang FedML 42 125 0 23 Nov 2022
Auxo: Efficient Federated Learning via Scalable Client Clustering Jiachen Liu Fan Lai Yinwei Dai Aditya Akella H. Madhyastha Mosharaf Chowdhury 44 10 0 29 Oct 2022
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets Raviteja Vemulapalli Warren Morningstar Philip Mansfield Hubert Eichner K. Singhal Arash Afkanpour Bradley Green FedML 29 2 0 30 Sep 2022
Plex: Towards Reliability using Pretrained Large Model Extensions Dustin Tran J. Liu Michael W. Dusenberry Du Phan Mark Collier ... D. Sculley Y. Gal Zoubin Ghahramani Jasper Snoek Balaji Lakshminarayanan VLM 39 124 0 15 Jul 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 19 51 0 14 Jul 2022
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shan-shan Wu Tian Li Zachary B. Charles Yu Xiao Ziyu Liu Zheng Xu Virginia Smith FedML 40 44 0 18 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 27 63 0 08 Jun 2022
Generalized Federated Learning via Sharpness Aware Minimization Zhe Qu Xingyu Li Rui Duan Yaojiang Liu Bo Tang Zhuo Lu FedML 20 131 0 06 Jun 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning Milad Sefidgaran Romain Chor A. Zaidi FedML 37 15 0 06 Jun 2022
Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters Tim Tsz-Kit Lau Han Liu OOD 37 2 0 23 Mar 2022
Improving Generalization in Federated Learning by Seeking Flat Minima Debora Caldarola Barbara Caputo Marco Ciccone FedML 27 110 0 22 Mar 2022
Gradient Masked Averaging for Federated Learning Irene Tenison Sai Aravind Sreeramadas Vaikkunth Mugunthan Edouard Oyallon Irina Rish Eugene Belilovsky FedML 66 24 0 28 Jan 2022
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective Margalit Glasgow Honglin Yuan Tengyu Ma FedML 27 42 0 05 Nov 2021
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features Meirui Jiang Xiaoxiao Li Xiaofei Zhang Michael Kamp Qianming Dou FedML OOD 34 0 0 19 Oct 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 184 411 0 14 Jul 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 253 93 0 11 Dec 2020
Linearly Converging Error Compensated SGD Eduard A. Gorbunov D. Kovalev Dmitry Makarenko Peter Richtárik 163 77 0 23 Oct 2020