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"

39 / 389 papers shown

Title
Cluster-driven Graph Federated Learning over Multiple Domains Debora Caldarola Massimiliano Mancini Fabio Galasso Marco Ciccone Emanuele Rodolà Barbara Caputo FedML 11 82 0 29 Apr 2021
Communication-Efficient and Personalized Federated Lottery Ticket Learning Sejin Seo Seung-Woo Ko Jihong Park Seong-Lyun Kim M. Bennis FedML 44 15 0 26 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 21 128 0 31 Mar 2021
Federated Learning with Taskonomy for Non-IID Data Hadi Jamali Rad Mohammad Abdizadeh Anuj Singh FedML 32 54 0 29 Mar 2021
Auction Based Clustered Federated Learning in Mobile Edge Computing System Renhao Lu Weizhe Zhang Qiong Li Xiaoxiong Zhong A. Vasilakos FedML 15 10 0 12 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 206 840 0 01 Mar 2021
Heterogeneity for the Win: One-Shot Federated Clustering D. Dennis Tian Li Virginia Smith FedML 22 146 0 01 Mar 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 29 76 0 25 Feb 2021
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection David S. Johnson Wolfgang Lorenz Michael Taenzer S. I. Mimilakis S. Grollmisch J. Abeßer Hanna M. Lukashevich FedML 19 13 0 17 Feb 2021
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization Canh T. Dinh Thanh Tung Vu N. H. Tran Minh N. Dao Hongyu Zhang FedML 65 40 0 14 Feb 2021
Estimation of Microphone Clusters in Acoustic Sensor Networks using Unsupervised Federated Learning Alexandru Nelus Rene Glitza Rainer Martin 8 6 0 05 Feb 2021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning Felix Sattler Tim Korjakow R. Rischke Wojciech Samek FedML 6 115 0 04 Feb 2021
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge A. Qayyum Kashif Ahmad Muhammad Ahtazaz Ahsan Ala I. Al-Fuqaha Junaid Qadir FedML 22 187 0 19 Jan 2021
Fairness and Accuracy in Federated Learning Wei Huang Tianrui Li Dexian Wang Shengdong Du Junbo Zhang FedML 31 52 0 18 Dec 2020
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 27 37 0 16 Dec 2020
Personalized Federated Learning with First Order Model Optimization Michael Zhang Karan Sapra Sanja Fidler Serena Yeung J. Álvarez FedML 27 290 0 15 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 17 24 0 15 Dec 2020
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation Lushan Song Guopeng Lin Jiaxuan Wang Haoqi Wu Wenqiang Ruan Weili Han 26 9 0 06 Dec 2020
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture Jin-Woo Lee Jaehoon Oh Sungsu Lim Se-Young Yun Jae-Gil Lee FedML 17 32 0 06 Dec 2020
Communication-Efficient Federated Distillation Felix Sattler Arturo Marbán R. Rischke Wojciech Samek FedML DD 13 35 0 01 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 28 22 0 01 Dec 2020
LINDT: Tackling Negative Federated Learning with Local Adaptation Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu FedML 11 0 0 23 Nov 2020
Heterogeneous Data-Aware Federated Learning Lixuan Yang Cedric Beliard Dario Rossi FedML 23 17 0 12 Nov 2020
FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure Moming Duan Duo Liu Xinyuan Ji Renping Liu Liang Liang Xianzhang Chen Yujuan Tan FedML 6 61 0 14 Oct 2020
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation Kate Donahue Jon M. Kleinberg FedML 16 78 0 02 Oct 2020
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling Cheng Chen Ziyi Chen Yi Zhou B. Kailkhura FedML 15 60 0 22 Sep 2020
Dynamic Fusion based Federated Learning for COVID-19 Detection Weishan Zhang Tao Zhou Qinghua Lu Xiao Wang Chunsheng Zhu Haoyun Sun Zhipeng Wang Sin Kit Lo Fei-Yue Wang FedML MedIm 9 209 0 22 Sep 2020
Inverse Distance Aggregation for Federated Learning with Non-IID Data Yousef Yeganeh Azade Farshad Nassir Navab Shadi Albarqouni OOD 6 81 0 17 Aug 2020
Siloed Federated Learning for Multi-Centric Histopathology Datasets M. Andreux Jean Ogier du Terrail C. Béguier Eric W. Tramel FedML OOD AI4CE 4 113 0 17 Aug 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 40 83 0 22 Jul 2020
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy Nuria Rodríguez Barroso G. Stipcich Daniel Jiménez-López José Antonio Ruiz-Millán Eugenio Martínez-Cámara Gerardo González-Seco M. V. Luzón M. Veganzones Francisco Herrera 12 100 0 02 Jul 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin K. Ramchandran FedML 24 834 0 07 Jun 2020
Federated learning with hierarchical clustering of local updates to improve training on non-IID data Christopher Briggs Zhong Fan Péter András FedML 9 553 0 24 Apr 2020
Distributed and Democratized Learning: Philosophy and Research Challenges Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad C. Hong 14 14 0 18 Mar 2020
Trends and Advancements in Deep Neural Network Communication Felix Sattler Thomas Wiegand Wojciech Samek GNN 17 9 0 06 Mar 2020
Device Heterogeneity in Federated Learning: A Superquantile Approach Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 32 22 0 25 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 34 565 0 25 Feb 2020
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 41 92 0 27 Jul 2019
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 179 524 0 27 Jun 2012