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 / 390 papers shown

Title
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training Shenglai Zeng Zonghang Li Hongfang Yu Yihong He Zenglin Xu Dusit Niyato Han Yu FedML 51 19 0 31 Jan 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 58 14 0 26 Jan 2022
Towards Federated Clustering: A Federated Fuzzy $c$ -Means Algorithm (FFCM) Morris Stallmann A. Wilbik FedML 32 37 0 18 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
SPIDER: Searching Personalized Neural Architecture for Federated Learning Erum Mushtaq Chaoyang He Jie Ding A. Avestimehr FedML 24 20 0 27 Dec 2021
Mitigating Leakage from Data Dependent Communications in Decentralized Computing using Differential Privacy Riad Ladjel N. Anciaux A. Bellet Guillaume Scerri FedML 36 0 0 23 Dec 2021
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan Carlee Joe-Wong FedML 29 87 0 11 Dec 2021
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning Shuo Wan Jiaxun Lu Pingyi Fan Yunfeng Shao Chenghui Peng Khaled B. Letaief FedML 24 14 0 02 Dec 2021
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 24 61 0 01 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 36 76 0 26 Nov 2021
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning Elnur Gasanov Ahmed Khaled Samuel Horváth Peter Richtárik FedML 30 16 0 22 Nov 2021
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 32 87 0 17 Nov 2021
An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning Shiliang Zhang 13 2 0 13 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... C. Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 41 50 0 09 Nov 2021
ARFED: Attack-Resistant Federated averaging based on outlier elimination Ece Isik Polat Gorkem Polat Altan Koçyiğit AAML FedML 41 10 0 08 Nov 2021
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization Xia Jiang Xianlin Zeng Jian Sun Jie Chen Lihua Xie 18 6 0 06 Nov 2021
Differential Privacy in Cognitive Radio Networks: A Comprehensive Survey Muneeb Ul Hassan M. H. Rehmani Maaz Rehan Jinjun Chen 25 16 0 03 Nov 2021
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning Maoguo Gong Yuan Gao Yue Wu •. A. K. Qin FedML OOD 6 1 0 29 Oct 2021
User-Centric Federated Learning Mohamad Mestoukirdi Matteo Zecchin David Gesbert Qianrui Li N. Gresset FedML 24 6 0 19 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun Luo Shandong Wu OOD MQ 68 75 0 15 Oct 2021
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning Jieming Bian Zhu Fu Jie Xu FedML 26 13 0 15 Oct 2021
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers A. Boutet Thomas LeBrun Jan Aalmoes Adrien Baud FedML 55 17 0 26 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning S. Hahn Minwoo Jeong Junghye Lee FedML 24 18 0 16 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 242 0 09 Sep 2021
Federated Learning: Issues in Medical Application Joo Hun Yoo Hyejun Jeong Jaehyeok Lee Tai M. Chung FedML OOD 33 13 0 01 Sep 2021
Private Multi-Task Learning: Formulation and Applications to Federated Learning Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 27 19 0 30 Aug 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health Guodong Long Tao Shen Yue Tan Leah Gerrard Allison Clarke Jing Jiang FedML 26 45 0 24 Aug 2021
Federated Learning for Open Banking Guodong Long Yue Tan Jing Jiang Chengqi Zhang AIFin FedML 46 275 0 24 Aug 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 40 269 0 23 Aug 2021
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift Moming Duan Duo Liu Xinyuan Ji Yu Wu Liang Liang Xianzhang Chen Yujuan Tan FedML OOD 34 110 0 22 Aug 2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks Chenyuan Feng H. Yang Deshun Hu Zhiwei Zhao Tony Q.S. Quek Geyong Min 36 74 0 20 Aug 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization Guodong Long Ming Xie Tao Shen Dinesh Manocha Xianzhi Wang Jing Jiang Chengqi Zhang FedML 32 242 0 19 Aug 2021
Collaboration Equilibrium in Federated Learning Sen Cui Jian Liang Weishen Pan Kun Chen Changshui Zhang Fei Wang FedML 27 23 0 18 Aug 2021
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks A. Albaseer M. Abdallah Ala I. Al-Fuqaha A. Erbad 25 32 0 16 Aug 2021
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks Sawan Singh Mahara M. Shruti B. Bharath Akash Murthy FedML 40 0 0 05 Aug 2021
FedJAX: Federated learning simulation with JAX Jae Hun Ro A. Suresh Ke Wu FedML 33 48 0 04 Aug 2021
Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application Joo Hun Yoo Ha Min Son Hyejun Jeong E. Jang A. Kim H. Yu Hong Jin Jeon Tai-Myung Chung FedML OOD 25 31 0 04 Aug 2021
FedLab: A Flexible Federated Learning Framework Dun Zeng Siqi Liang Xiangjing Hu Hui Wang Zenglin Xu FedML 13 107 0 24 Jul 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
Federated Mixture of Experts M. Reisser Christos Louizos E. Gavves Max Welling FedML 28 25 0 14 Jul 2021
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML OOD AAML 33 10 0 03 Jul 2021
Federated Graph Classification over Non-IID Graphs Han Xie Jing Ma Li Xiong Carl Yang FedML 11 153 0 25 Jun 2021
Personalized Federated Learning with Contextualized Generalization Xueyang Tang Song Guo Jingcai Guo FedML 23 38 0 24 Jun 2021
Optimality and Stability in Federated Learning: A Game-theoretic Approach Kate Donahue Jon M. Kleinberg FedML 13 45 0 17 Jun 2021
A Wasserstein Minimax Framework for Mixed Linear Regression Theo Diamandis Yonina C. Eldar Alireza Fallah Farzan Farnia Asuman Ozdaglar 22 6 0 14 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 34 768 0 12 Jun 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 30 328 0 09 Jun 2021
Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic Environments Alexandru Nelus Rene Glitza Rainer Martin 17 8 0 07 Jun 2021
Federated Neural Collaborative Filtering V. Perifanis P. Efraimidis FedML 15 92 0 02 Jun 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 15 184 0 12 May 2021