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 / 68 papers shown

Title
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 35 0 0 05 May 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 36 0 0 12 Apr 2025
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 87 0 0 06 Mar 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities Zhibo Tian Ruijie Quan Fan Ma Kun Zhan Yi Yang 31 1 0 24 Jan 2025
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering Rasoul Jafari Gohari Laya Aliahmadipour Ezat Valipour FedML 30 0 0 16 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm federated learning Albin Grataloup Stefan Jonas Angela Meyer AI4CE 33 0 0 05 Sep 2024
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models Wentao Gao Omid Tavallaie Shuaijun Chen Albert Zomaya FedML 28 3 0 30 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 28 1 0 12 Jul 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 12 0 12 Jun 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 29 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
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning Michael Duchesne Kaiwen Zhang Talhi Chamseddine FedML 32 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 27 1 0 20 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 51 1 0 19 Apr 2024
Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study Fernanda Famá Charalampos Kalalas Sandra Lagen Paolo Dini FedML 24 3 0 12 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu 30 0 0 07 Mar 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control Xiaocheng Li Si-ren Liu Zimu Zhou Bin Guo Yuan Xu Zhiwen Yu 33 0 0 29 Jan 2024
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 34 6 0 25 Jan 2024
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 44 1 0 16 Nov 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning Shiyu Liu Shaogao Lv Dun Zeng Zenglin Xu Hongya Wang Yue Yu FedML 22 3 0 05 Jul 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 41 13 0 21 Mar 2023
Stochastic Clustered Federated Learning Dun Zeng Xiangjing Hu Shiyu Liu Yue Yu Qifan Wang Zenglin Xu FedML 20 13 0 02 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization Nang Hung Nguyen Duc Long Nguyen Trong Bang Nguyen T. Nguyen H. Pham Truong Thao Nguyen Phi Le Nguyen FedML 26 8 0 21 Feb 2023
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
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 18 221 0 15 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System Yue Yang Jingwei Sun Ang Li H. Li Yiran Chen OOD 31 0 0 11 Nov 2022
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks Zhengjie Yang Sen Fu Wei Bao Dong Yuan Albert Y. Zomaya FedML 39 5 0 26 Oct 2022
An Improved Algorithm for Clustered Federated Learning Harsh Vardhan A. Ghosh A. Mazumdar FedML 26 8 0 20 Oct 2022
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data V. Mai R. La Tao Zhang FedML OOD 35 7 0 06 Oct 2022
Group Personalized Federated Learning Zhe Liu Yue Hui Fuchun Peng FedML 26 2 0 04 Oct 2022
Label driven Knowledge Distillation for Federated Learning with non-IID Data Minh-Duong Nguyen Viet Quoc Pham D. Hoang Long Tran-Thanh Diep N. Nguyen W. Hwang 16 2 0 29 Sep 2022
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange Satyavrat Wagle Seyyedali Hosseinalipour Naji Khosravan M. Chiang Christopher G. Brinton FedML 25 5 0 04 Aug 2022
Over-the-Air Federated Edge Learning with Hierarchical Clustering Ozan Aygün M. Kazemi Deniz Gündüz T. Duman 22 5 0 19 Jul 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
Federated Learning under Distributed Concept Drift Ellango Jothimurugesan Kevin Hsieh Jianyu Wang Gauri Joshi Phillip B. Gibbons FedML 24 46 0 01 Jun 2022
Cali3F: Calibrated Fast Fair Federated Recommendation System Zhitao Zhu Shijing Si Jianzong Wang Jing Xiao FedML 73 14 0 26 May 2022
FLAD: Adaptive Federated Learning for DDoS Attack Detection Roberto Doriguzzi-Corin Domenico Siracusa FedML 23 61 0 13 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning Yanhang Shi Siguang Chen Haijun Zhang FedML 21 8 0 05 May 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Sangmook Kim Wonyoung Shin Soohyuk Jang Hwanjun Song Se-Young Yun 29 2 0 03 May 2022
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS Rui Song Liguo Zhou Venkatnarayanan Lakshminarasimhan Andreas Festag Alois C. Knoll 14 22 0 01 Apr 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching Zexi Li Jiaxun Lu Shuang Luo Didi Zhu Yunfeng Shao Yinchuan Li Zhimeng Zhang Yongheng Wang Chao-Xiang Wu FedML 30 36 0 23 Mar 2022
On the Convergence of Clustered Federated Learning Ma Jie Guodong Long Tianyi Zhou Jing Jiang Chengqi Zhang FedML 33 46 0 13 Feb 2022
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning Yixuan Li Xiaoqi Qin H. Chen K. Han Ping Zhang FedML 22 13 0 06 Feb 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 51 14 0 26 Jan 2022
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 22 1 0 28 Dec 2021
Hierarchical Over-the-Air Federated Edge Learning Ozan Aygün M. Kazemi Deniz Gündüz T. Duman 11 25 0 21 Dec 2021
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan Carlee Joe-Wong FedML 24 87 0 11 Dec 2021
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation Tian Liu Xian Wei Jun Xia Xin Fu Ting Wang Mingsong Chen 6 15 0 29 Nov 2021