Personalized Federated Learning

Personalized federated learning (PFL) aims to train customized machine learning models for individual clients in a distributed setting, preserving data privacy. Current research emphasizes efficient aggregation techniques, often employing backbone self-distillation, generative parameter aggregation, or class-wise averaging, to balance personalization with global knowledge sharing and address data heterogeneity. This field is significant because it enables the development of more accurate and adaptable models across diverse applications while maintaining user privacy, particularly relevant in healthcare, autonomous driving, and other sensitive data domains.

Papers

September 12, 2022

Personalized Federated Learning with Communication Compression
El Houcine Bergou, Konstantin Burlachenko, Aritra Dutta, Peter Richtárik
Personalized Federated Learning Communication Compression Vanilla Gradient Descent Fast AltGDA Type Algorithm Bidirectional Compression

August 27, 2022

Tensor Decomposition based Personalized Federated Learning
Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li
Federated Learning Personalized Federated Learning Tensor Decomposition Personalized Model

August 23, 2022

FedMCSA: Personalized Federated Learning via Model Components Self-Attention
Qi Guo, Yong Qi, Saiyu Qi, Di Wu, Qian Li
Machine Learning Model Self Attention Personalized Federated Learning

July 13, 2022

One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Onat Dalmaz, Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman UH Dar, Emir Ceyani, Salman Avestimehr, Tolga Çukur
Full Model Personalized Federated Learning MRI Synthesis Source Target

June 27, 2022

An Empirical Study of Personalized Federated Learning
Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka
Federated Learning Empirical Study Data Heterogeneity Personalized Federated Learning

June 16, 2022

Personalized Federated Learning via Variational Bayesian Inference
Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
Personalized Federated Learning Model Overfitting Variational Bayesian Inference

June 8, 2022

June 6, 2022

An Optimal Transport Approach to Personalized Federated Learning
Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie
Federated Learning Optimal Transport Personalized Federated Learning Multi Marginal Optimal Transport

May 23, 2022

Personalized Federated Learning with Server-Side Information
Jaehun Song, Min-hwan Oh, Hyung-Sin Kim
Personalized Federated Learning Full Information Personalization Performance Meta Gradient Order Gradient

May 5, 2022

Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
Yanhang Shi, Siguang Chen, Haijun Zhang
Pseudo Label Personalized Federated Learning Decentralized Learning Confidence Interval Model Personalization

April 28, 2022

Personalized Federated Learning with Multiple Known Clusters
Boxiang Lyu, Filip Hanzely, Mladen Kolar
High Similarity Personalized Federated Learning Different Cluster Cluster Structure Model Weight

March 25, 2022

Sparse Federated Learning with Hierarchical Personalized Models
Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yinchuan Li
Personalized Federated Learning Personalized Model FedAvg Algorithm Proximal Gradient Descent Sparse Federated

March 2, 2022

Personalized Federated Learning With Graph
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
Graph Drawing Personalized Federated Learning Model Personalization

February 20, 2022

Personalized Federated Learning with Exact Stochastic Gradient Descent
Sotirios Nikoloutsopoulos, Iordanis Koutsopoulos, Michalis K. Titsias
Stochastic Gradient Descent Personalized Federated Learning Unbiased Gradient

February 18, 2022

PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
Xingjian Cao, Gang Sun, Hongfang Yu, Mohsen Guizani
Generative Adversarial Network Personalized Federated Learning C Gan Personalized Model Federated Training

February 6, 2022

Energy-Aware Edge Association for Cluster-based Personalized Federated Learning
Y. Li, X. Qin, H. Chen, K. Han, P. Zhang
Resource Allocation Personalized Federated Learning Edge Network Ubiquitous Intelligence Edge Association

February 5, 2022

A Coalition Formation Game Approach for Personalized Federated Learning
Leijie Wu, Song Guo, Yaohong Ding, Yufeng Zhan, Jie Zhang
Shapley Value Personalized Federated Learning Coalition Game

February 1, 2022