Lower Bounds and Optimal Algorithms for Personalized Federated Learning

5 October 2020

Papers citing "Lower Bounds and Optimal Algorithms for Personalized Federated Learning"

50 / 114 papers shown

Title
Distributionally Robust Federated Learning: An ADMM Algorithm Wen Bai Yi Wong Xiao Qiao Chin Pang Ho FedML OOD 66 0 0 24 Mar 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning Haoyu Lei Shizhan Gong Qi Dou Farzan Farnia FedML 59 0 0 19 Mar 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 38 0 0 03 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
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 85 7 0 17 Jan 2025
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning P. M. Ghari Yanning Shen FedML 23 1 0 28 Oct 2024
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 26 0 0 11 Oct 2024
Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo Tianbao Yang FedML 28 0 0 08 Oct 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients Youssef Allouah Abdellah El Mrini R. Guerraoui Nirupam Gupta Rafael Pinot FedML 27 0 0 30 Sep 2024
Low-Resource Machine Translation through the Lens of Personalized Federated Learning Viktor Moskvoretskii N. Tupitsa Chris Biemann Samuel Horváth Eduard A. Gorbunov Irina Nikishina FedML 31 0 0 18 Jun 2024
Decentralized Personalized Federated Learning Salma Kharrat Marco Canini Samuel Horváth FedML 46 0 0 10 Jun 2024
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation Honglei Zhang Haoxuan Li Jundong Chen Sen Cui Kunda Yan Abudukelimu Wuerkaixi Xin Zhou Zhiqi Shen Yidong Li FedML 27 4 0 06 Jun 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data Wenfei Liang Yanan Zhao Rui She Yiming Li Wee Peng Tay FedML 48 0 0 25 May 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models Shengchao Chen Guodong Long Jing Jiang Chengqi Zhang 46 4 0 24 May 2024
Rehearsal-free Federated Domain-incremental Learning Rui Sun Haoran Duan Jiahua Dong Varun Ojha Tejal Shah R. Ranjan CLL 43 1 0 22 May 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
Federated Learning Can Find Friends That Are Advantageous N. Tupitsa Samuel Horváth Martin Takávc Eduard A. Gorbunov FedML 41 2 0 07 Feb 2024
Cross-silo Federated Learning with Record-level Personalized Differential Privacy Junxu Liu Jian Lou Li Xiong Jinfei Liu Xiaofeng Meng 23 5 0 29 Jan 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach Qiqing Wang Kaidi Yang FedML 29 8 0 22 Jan 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning P. M. Ghari Yanning Shen FedML 35 1 0 19 Jan 2024
Personalized Online Federated Learning with Multiple Kernels P. M. Ghari Yanning Shen 49 13 0 09 Nov 2023
PAGE: Equilibrate Personalization and Generalization in Federated Learning Qian Chen Zilong Wang Jiaqi Hu Haonan Yan Jianying Zhou Xiao-La Lin FedML 23 4 0 13 Oct 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 24 7 0 28 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 32 12 0 11 Jul 2023
Federated Learning under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya Fanghui Liu Thomas Pethick Grigorios G. Chrysos V. Cevher FedML OOD 15 6 0 08 Jun 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 36 0 0 29 May 2023
Federated Prompt Learning for Weather Foundation Models on Devices Shen Chen Guodong Long Tao Shen Jing Jiang Tianyi Zhou FedML 20 10 0 23 May 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Jike Zhong Mingda Zhang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 30 6 0 16 Apr 2023
Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks Chaoqun You Kun Guo Howard H. Yang Tony Q. S. Quek 33 16 0 19 Mar 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 15 20 0 20 Feb 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning Dui Wang Li Shen Yong Luo Han Hu Kehua Su Yonggang Wen Dacheng Tao FedML 13 9 0 15 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie De-An Huang Wen-Hsuan Chu Daguang Xu Chaowei Xiao Bo-wen Li Anima Anandkumar FedML 8 10 0 13 Feb 2023
Cross-Fusion Rule for Personalized Federated Learning Wangzhuo Yang Bo Chen Yijun Shen Jiong Liu Li Yu FedML 9 0 0 06 Feb 2023
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity Han Wang A. Mitra Hamed Hassani George J. Pappas James Anderson FedML 24 21 0 04 Feb 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 18 8 0 26 Jan 2023
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation Huancheng Chen Johnny J. Wang H. Vikalo FedML 18 35 0 21 Jan 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Konstantin Mishchenko Slavomír Hanzely Peter Richtárik FedML 24 5 0 17 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 78 0 03 Jan 2023
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie M. Zhang FedML OODD OOD 36 3 0 21 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
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning Shangchao Su Min Yang Bin Li Xiangyang Xue VLM FedML 30 18 0 15 Nov 2022
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization Yueqi Xie Weizhong Zhang Renjie Pi Fangzhao Wu Qifeng Chen Xing Xie Sunghun Kim FedML 18 7 0 10 Nov 2022
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search Sixing Yu J. P. Muñoz Ali Jannesari FedML 16 0 0 09 Nov 2022
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings Andrew Silva Pradyumna Tambwekar Matthew C. Gombolay FedML 11 0 0 07 Oct 2022
Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning Shangchao Su Bin Li Xiangyang Xue FedML 24 1 0 04 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 32 6 0 03 Oct 2022
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi Jian Liang Wenqing Zhang Vincent Y. F. Tan Song Bai FedML 79 55 0 01 Oct 2022
On the Impossible Safety of Large AI Models El-Mahdi El-Mhamdi Sadegh Farhadkhani R. Guerraoui Nirupam Gupta L. Hoang Rafael Pinot Sébastien Rouault John Stephan 30 31 0 30 Sep 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 31 169 0 21 Sep 2022