Three Approaches for Personalization with Applications to Federated Learning

25 February 2020

Papers citing "Three Approaches for Personalization with Applications to Federated Learning"

31 / 31 papers shown

Title
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning L. Yang Wei Emma Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 31 0 0 11 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 77 0 0 05 May 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 88 0 0 13 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Zhaoyu Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 121 0 0 13 Mar 2025
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 103 0 0 06 Mar 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation Franco Galante Giovanni Neglia Emilio Leonardi FedML 103 1 0 20 Feb 2025
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 78 0 0 31 Jan 2025
Federated Deep Subspace Clustering Yupei Zhang Ruojia Feng Yifei Wang Xuequn Shang FedML 100 0 0 17 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 143 9 0 17 Jan 2025
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 73 0 0 03 Oct 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update Ziru Niu Hai Dong •. A. K. Qin 65 2 0 18 Mar 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 123 0 0 19 Feb 2024
Initializing Services in Interactive ML Systems for Diverse Users Avinandan Bose Mihaela Curmei Daniel L. Jiang Jamie Morgenstern Sarah Dean Lillian J. Ratliff Maryam Fazel 28 5 0 19 Dec 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 72 1 0 17 Jan 2023
An Operator Splitting View of Federated Learning Saber Malekmohammadi Kiarash Shaloudegi Zeou Hu Yaoliang Yu FedML 57 2 0 12 Aug 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 275 549 0 30 Mar 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 35 262 0 12 Feb 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 62 554 0 06 Jan 2020
Federated Evaluation of On-device Personalization Kangkang Wang Rajiv Mathews Chloé Kiddon Hubert Eichner F. Beaufays Daniel Ramage FedML 29 283 0 22 Oct 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 37 345 0 14 Oct 2019
Federated Learning of N-gram Language Models Mingqing Chen A. Suresh Rajiv Mathews Adeline Wong Cyril Allauzen F. Beaufays Michael Riley FedML 72 74 0 08 Oct 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard Swaroop Indra Ramaswamy Rajiv Mathews Kanishka Rao Franccoise Beaufays FedML 40 311 0 11 Jun 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 45 2,297 0 13 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 62 928 0 01 Feb 2019
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 87 1,410 0 03 Dec 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 148 1,056 0 24 May 2018
Federated Learning for Ultra-Reliable Low-Latency V2V Communications S. Samarakoon M. Bennis Walid Saad Merouane Debbah 37 228 0 11 May 2018
Recent Progresses in Deep Learning based Acoustic Models (Updated) Dong Yu Jinyu Li VLM 46 160 0 25 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 735 11,793 0 09 Mar 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 251 4,620 0 18 Oct 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 305 9,418 0 28 May 2015