Federated learning with hierarchical clustering of local updates to improve training on non-IID data

24 April 2020

Papers citing "Federated learning with hierarchical clustering of local updates to improve training on non-IID data"

50 / 125 papers shown

Title
Topology-Aware Knowledge Propagation in Decentralized Learning Mansi Sakarvadia Nathaniel Hudson Tian Li Ian Foster Kyle Chard 12 0 0 16 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 43 0 0 05 May 2025
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling Hui Yeok Wong Chee Kau Lim Chee Seng Chan FedML 49 0 0 18 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 38 0 0 12 Apr 2025
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control Yongjie Fu Lingyun Zhong Zifan Li Xuan Di 21 0 0 07 Apr 2025
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices Yunlong Mao Mingyang Niu Ziqin Dang Chengxi Li Hanning Xia Yuejuan Zhu Haoyu Bian Yuan Zhang Jingyu Hua Sheng Zhong FedML 57 0 0 19 Mar 2025
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 92 0 0 06 Mar 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities Zhibo Tian Ruijie Quan Fan Ma Kun Zhan Yi Yang 36 1 0 24 Jan 2025
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data Junki Mori Kosuke Kihara Taiki Miyagawa Akinori F. Ebihara Isamu Teranishi Hisashi Kashima 85 1 0 18 Dec 2024
Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition Rastko Gajanin Anastasiya Danilenka Andrea Morichetta Stefan Nastic 110 2 0 21 Nov 2024
FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems M. Campana Franca Delmastro 29 0 0 13 Nov 2024
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation Shreya Gummadi M. V. Gasparino Deepak Vasisht Girish Chowdhary FedML 37 1 0 06 Nov 2024
Co-clustering for Federated Recommender System Xinrui He Shuo Liu J. Keung Jingrui He FedML 52 203 0 03 Nov 2024
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations Grace Kim Luca Powell F. Svoboda Nicholas D. Lane FedML 26 0 0 31 Oct 2024
ProFL: Performative Robust Optimal Federated Learning Xue Zheng Tian Xie Xuwei Tan Aylin Yener Xueru Zhang Ali Payani Myungjin Lee FedML 35 0 0 23 Oct 2024
A Bayesian Framework for Clustered Federated Learning Peng Wu Tales Imbiriba Pau Closas FedML 53 0 0 20 Oct 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 38 0 0 18 Oct 2024
Comparative Evaluation of Clustered Federated Learning Methods Michael Ben Ali Omar El-Rifai Imen Megdiche André Peninou Olivier Teste FedML 35 0 0 18 Oct 2024
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization Youpeng Li Xuben Wang Fuxun Yu Lichao Sun Wenbin Zhang Xuyu Wang FedML 112 0 0 16 Oct 2024
Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid V. J. Nair Lucas Pereira AI4CE 25 0 0 13 Oct 2024
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System Ravi K. Madduri Zilinghan Li Tarak Nandi Kibaek Kim Minseok Ryu Alex Rodriguez 35 1 0 29 Sep 2024
Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS Md Raihan Uddin Gauri Shankar Saddam Hossain Mukta Prabhat Kumar Najmul Islam FedML 36 0 0 24 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
Wind turbine condition monitoring based on intra- and inter-farm federated learning Albin Grataloup Stefan Jonas Angela Meyer AI4CE 41 0 0 05 Sep 2024
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets Xingrun Yan Shiyuan Zuo Rongfei Fan Han Hu Li Shen Puning Zhao Yong Luo FedML 55 0 0 19 Aug 2024
Seamless Integration: Sampling Strategies in Federated Learning Systems T. Legler Vinit Hegiste Martin Ruskowski FedML 41 1 0 18 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 38 1 0 15 Aug 2024
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models Wentao Gao Omid Tavallaie Shuaijun Chen Albert Zomaya FedML 40 3 0 30 Jul 2024
Enhancing Group Fairness in Federated Learning through Personalization Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili FedML 40 0 0 27 Jul 2024
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification Chutian Jiang Hansong Zhou Xiaonan Zhang Shayok Chakraborty FedML 51 1 0 26 Jul 2024
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering Ensieh Khazaei Alireza Esmaeilzehi Bilal Taha Dimitrios Hatzinakos FedML 28 1 0 17 Jul 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 48 1 0 12 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 36 2 0 12 Jul 2024
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering Md Sirajul Islam Simin Javaherian Fei Xu Xu Yuan Li Chen Nian-Feng Tzeng FedML 38 3 0 09 Jul 2024
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification Xiaoxiong Zhang Zhiwei Zeng Xin Zhou Dusit Niyato Zhiqi Shen FedML 50 1 0 19 Jun 2024
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph Xiaoxiong Zhang Zhiwei Zeng Xin Zhou Dusit Niyato Zhiqi Shen FedML 68 3 0 17 Jun 2024
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning Jiaxing Qi Zhongzhi Luan Shaohan Huang Carol J. Fung Hailong Yang Depei Qian 32 13 0 12 Jun 2024
Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning Gyuejeong Lee Daeyoung Choi 51 0 0 12 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 41 0 0 31 May 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 37 1 0 30 May 2024
P4: Towards private, personalized, and Peer-to-Peer learning Mohammad Maheri S. Siby Sina Abdollahi Anastasia Borovykh Hamed Haddadi 26 0 0 27 May 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning Shutong Chen Tianyi Zhou Guodong Long Jie Ma Jing Jiang Chengqi Zhang FedML 51 1 0 26 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 34 0 0 24 May 2024
Towards Client Driven Federated Learning Songze Li Chenqing Zhu FedML 46 0 0 24 May 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning Akash Dhasade Anne-Marie Kermarrec Tuan-Anh Nguyen Rafael Pires M. Vos FedML 33 0 0 24 May 2024
Worldwide Federated Training of Language Models Alexandru Iacob Lorenzo Sani Bill Marino Preslav Aleksandrov William F. Shen Nicholas D. Lane FedML 35 2 0 23 May 2024
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data Rongyu Zhang Yun Chen Chenrui Wu Fangxin Wang Boyan Li 43 12 0 10 May 2024
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering Siqi Ping Yuzhu Mao Yang Liu Xiao-Ping Zhang Wenbo Ding FedML 31 4 0 23 Apr 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning Michael Duchesne Kaiwen Zhang Talhi Chamseddine FedML 34 0 0 20 Apr 2024
Collaborative Visual Place Recognition through Federated Learning Mattia Dutto Gabriele Berton Debora Caldarola Eros Fani Gabriele Trivigno Carlo Masone FedML 32 1 0 20 Apr 2024