Survey of Personalization Techniques for Federated Learning

19 March 2020

Papers citing "Survey of Personalization Techniques for Federated Learning"

49 / 49 papers shown

Title
FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures Jiacheng Wang Hongtao Lv Lei Liu FedML 25 0 0 10 May 2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition Hu Ding Yan Yan Yang Lu Jing-Hao Xue Hanzi Wang 28 0 0 03 Jan 2025
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo C. L. P. Chen Shandong Wu FedML VLM MoE 52 3 0 14 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 32 0 0 03 Oct 2024
Wind turbine condition monitoring based on intra- and inter-farm federated learning Albin Grataloup Stefan Jonas Angela Meyer AI4CE 31 0 0 05 Sep 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data Mahdi Morafah M. Reisser Bill Lin Christos Louizos FedML 32 5 0 13 May 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update Ziru Niu Hai Dong •. A. K. Qin 34 2 0 18 Mar 2024
Federated Learning over Connected Modes Dennis Grinwald Philipp Wiesner Shinichi Nakajima FedML 45 0 0 05 Mar 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 32 3 0 16 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 28 31 0 27 Dec 2023
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx Trung-Hieu Hoang Jordan D. Fuhrman Ravi K. Madduri Miao Li Pranshu Chaturvedi ... Kibaek Kim Minseok Ryu Ryan Chard Eliu A. Huerta Maryellen L. Giger 24 5 0 14 Dec 2023
Decentralized Personalized Online Federated Learning Renzhi Wu Saayan Mitra Xiang Chen Anup Rao FedML 29 2 0 08 Nov 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 36 244 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
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 34 33 0 19 May 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 27 7 0 22 Feb 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 35 31 0 01 Jan 2023
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Lorin Jenkel S. Jonas Angela Meyer FedML 33 6 0 07 Dec 2022
Decentralized Learning with Multi-Headed Distillation A. Zhmoginov Mark Sandler Nolan Miller Gus Kristiansen Max Vladymyrov FedML 32 4 0 28 Nov 2022
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
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 24 38 0 17 Nov 2022
Federated Learning for Appearance-based Gaze Estimation in the Wild Mayar Elfares Zhiming Hu Pascal Reisert Andreas Bulling Ralf Küsters FedML 19 11 0 14 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 32 7 0 08 Nov 2022
Federated Fuzzy Neural Network with Evolutionary Rule Learning Leijie Zhang Ye-ling Shi Yu-Cheng Chang Chin-Teng Lin FedML 19 15 0 26 Oct 2022
Find Your Friends: Personalized Federated Learning with the Right Collaborators Yi Sui Junfeng Wen Yenson Lau Brendan Leigh Ross Jesse C. Cresswell FedML 25 10 0 12 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
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 32 6 0 03 Oct 2022
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 52 4 0 19 Sep 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion Duy Phuong Nguyen Sixing Yu J. P. Muñoz Ali Jannesari FedML 19 12 0 16 Aug 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users Sudeep Salgia Sattar Vakili Qing Zhao FedML 29 6 0 16 Jul 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning Shuang Dai Fanlin Meng FedML OnRL 34 21 0 07 Feb 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 28 24 0 20 Jan 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Zhiqiang Zhang Jun Zhou Chaochao Chen FedML 26 10 0 28 Dec 2021
Linear Speedup in Personalized Collaborative Learning El Mahdi Chayti Sai Praneeth Karimireddy Sebastian U. Stich Nicolas Flammarion Martin Jaggi FedML 15 13 0 10 Nov 2021
Practical and Light-weight Secure Aggregation for Federated Submodel Learning Jamie Cui Cen Chen Tiandi Ye Li Wang FedML 23 2 0 02 Nov 2021
WAFFLE: Weighted Averaging for Personalized Federated Learning Martin Beaussart Felix Grimberg Mary-Anne Hartley Martin Jaggi FedML 13 16 0 13 Oct 2021
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis Fatemehsadat Mireshghallah Vaishnavi Shrivastava Milad Shokouhi Taylor Berg-Kirkpatrick Robert Sim Dimitrios Dimitriadis FedML 40 33 0 01 Oct 2021
Personalized Federated Learning over non-IID Data for Indoor Localization Peng Wu Tales Imbiriba Junha Park Sunwoo Kim Pau Closas FedML 17 28 0 09 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 16 6 0 07 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 22 21 0 02 Jul 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 44 243 0 29 Apr 2021
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 11 115 0 22 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 25 324 0 08 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely Boxin Zhao Mladen Kolar FedML 19 52 0 19 Feb 2021
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 38 22 0 31 Dec 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 36 186 0 05 Oct 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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017