Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

4 October 2019

Papers citing "Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints"

50 / 389 papers shown

Title
Chisme: Fully Decentralized Differentiated Deep Learning for Edge Intelligence Harikrishna Kuttivelil Katia Obraczka FedML 9 0 0 14 May 2025
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
FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures Jiacheng Wang Hongtao Lv Lei Liu FedML 23 0 0 10 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets Enpei Zhang Jingyi Chai Rui Ye Yanfeng Wang Siheng Chen TDI FedML 129 0 0 05 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 33 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 31 0 0 12 Apr 2025
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining Mrityunjoy Gain Kitae Kim Avi Deb Raha Apurba Adhikary Eui-nam Huh Zhu Han Choong Seon Hong FedML 31 0 0 08 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
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning Yuyang Qiu Kibaek Kim Farzad Yousefian FedML 54 0 0 02 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 50 0 0 19 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Z. Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 62 0 0 13 Mar 2025
Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing Yubo Yang Tao Yang X. Wu Ziyu Guo Bo Hu 57 0 0 12 Mar 2025
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 103 1 0 12 Mar 2025
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition Wei Chen Qiang Qiu FedML 62 0 0 11 Mar 2025
Personalized Federated Learning via Learning Dynamic Graphs Ziran Zhou Guanyu Gao Xiaohu Wu Yan Lyu FedML 48 0 0 07 Mar 2025
Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings Marco Arazzi Mert Cihangiroglu Antonino Nocera FedML 76 0 0 06 Mar 2025
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 87 0 0 06 Mar 2025
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 65 1 0 03 Mar 2025
Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning Rickard Brännvall FedML 27 0 0 01 Mar 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation Franco Galante Giovanni Neglia Emilio Leonardi FedML 87 1 0 20 Feb 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 83 5 0 17 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach Chaouki Ben Issaid Praneeth Vepakomma Mehdi Bennis 76 0 0 03 Feb 2025
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 42 0 0 31 Jan 2025
FedTLU: Federated Learning with Targeted Layer Updates Jong-Ik Park Carlee Joe-Wong FedML 84 0 0 28 Jan 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks Jiarui Song Yunheng Shen Chengbin Hou Pengyu Wang Jinbao Wang Ke Tang Hairong Lv FedML 44 1 0 24 Jan 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities Zhibo Tian Ruijie Quan Fan Ma Kun Zhan Yi Yang 29 1 0 24 Jan 2025
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences Maria Hartmann Grégoire Danoy Pascal Bouvry FedML 37 0 0 23 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 95 0 0 22 Jan 2025
Federated Deep Subspace Clustering Yupei Zhang Ruojia Feng Yifei Wang Xuequn Shang FedML 80 0 0 17 Jan 2025
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 28 0 0 31 Dec 2024
Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning Moqbel Hamood A. Albaseer M. Abdallah Ala I. Al-Fuqaha 69 0 0 22 Dec 2024
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 76 1 0 18 Dec 2024
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles Yijun Zhai Pengzhan Zhou Yuepeng He Fang Qu Zhida Qin Xianlong Jiao Guiyan Liu Songtao Guo 69 0 0 21 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 35 1 0 06 Nov 2024
Overcoming label shift in targeted federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 34 0 0 06 Nov 2024
Co-clustering for Federated Recommender System Xinrui He Shuo Liu J. Keung Jingrui He FedML 47 9 0 03 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 3 0 03 Nov 2024
Personalized Federated Learning via Feature Distribution Adaptation Connor Mclaughlin Lili Su FedML OOD 45 1 0 01 Nov 2024
Proportional Fairness in Non-Centroid Clustering Ioannis Caragiannis Evi Micha Nisarg Shah FedML 27 4 0 30 Oct 2024
$r$ Age- $k$ : Communication-Efficient Federated Learning Using Age Factor Matin Mortaheb Priyanka Kaswan S. Ulukus FedML 16 1 0 29 Oct 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen Xiaohu Wu Xiaoli Tang Tiantian He Y. Ong Qiqi Liu Qicheng Lao Han Yu FedML 24 3 0 25 Oct 2024
Equitable Federated Learning with Activation Clustering Antesh Upadhyay Abolfazl Hashemi FedML 21 0 0 24 Oct 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift J. Chen Jingfeng Xue Y. Wang Zhenyan Liu Lu Huang FedML 26 0 0 24 Oct 2024
ProFL: Performative Robust Optimal Federated Learning Xue Zheng Tian Xie Xuwei Tan Aylin Yener Xueru Zhang Ali Payani Myungjin Lee FedML 30 0 0 23 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 31 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 30 0 0 18 Oct 2024
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning Brianna Mueller W. Street Stephen Seung-Yeob Baek Qihang Lin Jingyi Yang Yankun Huang 24 0 0 17 Oct 2024
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare Xenia Konti Hans Riess Manos Giannopoulos Yi Shen Michael J. Pencina Nicoleta J. Economou-Zavlanos Michael M. Zavlanos FedML OOD 23 1 0 09 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 35 4 0 07 Oct 2024
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis Michael Ibrahim Heraldo Rozas N. Gebraeel Weijun Xie FedML OOD 28 0 0 04 Oct 2024