Robust Federated Learning in a Heterogeneous Environment

16 June 2019

Papers citing "Robust Federated Learning in a Heterogeneous Environment"

36 / 36 papers shown

Title
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning L. Yang W. Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 26 0 0 11 May 2025
FedEAT: A Robustness Optimization Framework for Federated LLMs Yahao Pang Xingyuan Wu Xiaojin Zhang Wei Chen Hai Jin FedML 79 0 0 17 Feb 2025
AI-Aided Kalman Filters Nir Shlezinger Guy Revach Anubhab Ghosh S. Chatterjee Shuo Tang Tales Imbiriba J. Duník O. Straka Pau Closas Yonina C. Eldar 74 3 0 16 Oct 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 57 5 0 17 Sep 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering Rasoul Jafari Gohari Laya Aliahmadipour Ezat Valipour FedML 32 0 0 16 Sep 2024
On the effects of similarity metrics in decentralized deep learning under distributional shift Edvin Listo Zec Tom Hagander Eric Ihre-Thomason Sarunas Girdzijauskas FedML 42 0 0 16 Sep 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Ning Wang Shanghao Shi Yang Xiao Yimin Chen Y. T. Hou W. Lou FedML AAML 36 1 0 12 Jul 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 33 31 0 27 Dec 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 47 13 0 21 Mar 2023
Differentially Private Federated Clustering over Non-IID Data Yiwei Li Shuai Wang Chong-Yung Chi Tony Q. S. Quek FedML 33 12 0 03 Jan 2023
Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization Heting Liu Fang He Guohong Cao FedML MQ 29 24 0 16 Dec 2022
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders Hanlin Gu Lixin Fan Xingxing Tang Qiang Yang AAML FedML 22 1 0 24 Nov 2022
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics Renjie Pi Weizhong Zhang Yueqi Xie Jiahui Gao Xiaoyu Wang Sunghun Kim Qifeng Chen DD 39 26 0 20 Nov 2022
Federated Learning with Intermediate Representation Regularization Ye Lin Tun Chu Myaet Thwal Yu Min Park Seong-Bae Park Choong Seon Hong FedML 20 6 0 28 Oct 2022
Global Convergence of Federated Learning for Mixed Regression Lili Su Jiaming Xu Pengkun Yang FedML 25 7 0 15 Jun 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 44 6 0 06 Jun 2022
An Optimal Transport Approach to Personalized Federated Learning Farzan Farnia Amirhossein Reisizadeh Ramtin Pedarsani Ali Jadbabaie OT OOD FedML 31 12 0 06 Jun 2022
Federated Learning under Distributed Concept Drift Ellango Jothimurugesan Kevin Hsieh Jianyu Wang Gauri Joshi Phillip B. Gibbons FedML 24 46 0 01 Jun 2022
Communication-Efficient Adaptive Federated Learning Yujia Wang Lu Lin Jinghui Chen FedML 27 71 0 05 May 2022
Fast Distributed k-Means with a Small Number of Rounds Tom Hess Ron Visbord Sivan Sabato 26 1 0 31 Jan 2022
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 25 1 0 28 Dec 2021
An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning Shiliang Zhang 13 2 0 13 Nov 2021
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 23 5 0 17 Aug 2021
Dynamic Attention-based Communication-Efficient Federated Learning Zihan Chen Kai Fong Ernest Chong Tony Q. S. Quek FedML 44 11 0 12 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 27 37 0 05 Aug 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 187 412 0 14 Jul 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 28 328 0 09 Jun 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Viet Quoc Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 30 417 0 05 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 34 128 0 31 Mar 2021
Heterogeneity for the Win: One-Shot Federated Clustering D. Dennis Tian Li Virginia Smith FedML 22 146 0 01 Mar 2021
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 24 173 0 18 Dec 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models Gautham Krishna Gudur B. Balaji S. K. Perepu FedML 8 19 0 06 Nov 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data Jie Peng Zhaoxian Wu Qing Ling Tianyi Chen OOD FedML 23 23 0 17 Sep 2020
Client Adaptation improves Federated Learning with Simulated Non-IID Clients Laura Rieger Rasmus M. Th. Høegh Lars Kai Hansen FedML 27 6 0 09 Jul 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 18 58 0 08 Jun 2020
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 42 966 0 04 Oct 2019