Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers

Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers

Statistical heterogeneity in Federated Learning (FL) often leads to client drift and biased local solutions. Prior work in the literature shows that client drift particularly affects the parameters of the classification layer, hindering both convergence and accuracy. While Personalized FL (PFL) addr...

Full description

Saved in:

Bibliographic Details
Main Authors:	Eros Fani, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Federated learning personalized federated learning pre-trained models ridge regression closed-form classifiers
Online Access:	https://ieeexplore.ieee.org/document/10946159/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Asynchronous Federated Learning Through Online Linear Regressions
by: Taiga Kashima, et al.
Published: (2024-01-01)

Personalized Federated Learning with Progressive Local Training Strategy and Lightweight Classifier
by: Jianhao Liu, et al.
Published: (2025-02-01)

FedEasy : Federated learning with ease
by: Majid Kundroo, et al.
Published: (2025-09-01)

Accelerating Fair Federated Learning: Adaptive Federated Adam
by: Li Ju, et al.
Published: (2024-01-01)

Communication-Balancing Threshold for Event-Triggered Federated Learning
by: Juhyeong Yoon, et al.
Published: (2025-01-01)

Federated learning for crop yield prediction: A comprehensive review of techniques and applications
by: Vani Hiremani, et al.
Published: (2025-06-01)

FedDL: personalized federated deep learning for enhanced detection and classification of diabetic retinopathy
by: Dasari Bhulakshmi, et al.
Published: (2024-12-01)

Cloudlet Federation Based Context-Aware Federated Learning Approach
by: Sana Latif, et al.
Published: (2022-01-01)

Analyzing the vulnerabilities in Split Federated Learning: assessing the robustness against data poisoning attacks
by: Aysha-Thahsin Zahir-Ismail, et al.
Published: (2025-08-01)

Leveraging federated learning for privacy-preserving analysis of multi-institutional electronic health records in rare disease research
by: Karthik Meduri, et al.
Published: (2025-11-01)

Blockchain-Based Federated Learning: A Survey and New Perspectives
by: Weiguang Ning, et al.
Published: (2024-10-01)

Federated meta learning: a review
by: Chuanyao ZHANG, et al.
Published: (2023-03-01)

Latency Analysis of UAV-Assisted Vehicular Communications Using Personalized Federated Learning with Attention Mechanism
by: Abhishek Gupta, et al.
Published: (2025-07-01)

Federated two-stage transformer-based network for intrusion detection in non-IID data of controller area networks
by: Yuan Zhang, et al.
Published: (2025-05-01)

Phase-Adaptive Federated Learning for Privacy-Preserving Personalized Travel Itinerary Generation
by: Xiaolong Chen, et al.
Published: (2025-06-01)

Joint User Association and Resource Allocation for Hierarchical Federated Learning Based on Games in Satisfaction Form
by: Panagiotis Charatsaris, et al.
Published: (2024-01-01)

SortAlign: a score-based aggregation technique for neural networks in one-round federated learning
by: Antonio Nappa, et al.
Published: (2024-12-01)

User-Centric Federated Learning: Trading off Wireless Resources for Personalization
by: Mohamad Mestoukirdi, et al.
Published: (2023-01-01)

Personalized Federated Learning for Heterogeneous Residential Load Forecasting
by: Xiaodong Qu, et al.
Published: (2023-12-01)

Federated Reinforcement Learning-Based Dynamic Resource Allocation and Task Scheduling in Edge for IoT Applications
by: Saroj Mali, et al.
Published: (2025-03-01)

A Federated Adversarial Fault Diagnosis Method Driven by Fault Information Discrepancy
by: Jiechen Sun, et al.
Published: (2024-08-01)

Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning
by: Xiyu Zhao, et al.
Published: (2025-01-01)

FedWT: Federated Learning with Minimum Spanning Tree-based Weighted Tree Aggregation for UAV networks
by: Geonhui Kim, et al.
Published: (2025-04-01)

FinGraphFL: Financial Graph-Based Federated Learning for Enhanced Credit Card Fraud Detection
by: Zhenyu Xia, et al.
Published: (2025-04-01)

High-performance federated continual learning algorithm for heterogeneous streaming data
by: Hui JIANG, et al.
Published: (2023-05-01)

High-performance federated continual learning algorithm for heterogeneous streaming data
by: Hui JIANG, et al.
Published: (2023-05-01)

Decentralized federated learning using validation loss for model sharing in crop disease classification
by: Denis Mamba Kabala, et al.
Published: (2025-12-01)

Robust-PFedproto: robust federated prototype learning based on personalized layers
by: XU Mingdi, et al.
Published: (2025-06-01)

Heterogeneity-Aware Personalized Federated Neural Architecture Search
by: An Yang, et al.
Published: (2025-07-01)

A robust and personalized privacy-preserving approach for adaptive clustered federated distillation
by: Mai Shawkat, et al.
Published: (2025-04-01)

FLavourite: Horizontal and Vertical Federated Learning Setting Comparison
by: Walter Riviera, et al.
Published: (2025-01-01)

Target informed client recruitment for efficient federated learning in healthcare
by: Vincent Scheltjens, et al.
Published: (2024-12-01)

Adaptive Beam Tracking in 5G/6G mmWave Networks: A Clustered Federated Learning Approach
by: Amjad Ali, et al.
Published: (2025-01-01)

Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization
by: Dasari Bhulakshmi, et al.
Published: (2024-12-01)

Pre mx Generalized Closed Set and its Application
by: Gour Pal, et al.
Published: (2013-03-01)

Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review
by: Menna Mamdouh Orabi, et al.
Published: (2025-03-01)

FedDB: A Federated Learning Approach Using DBSCAN for DDoS Attack Detection
by: Yi-Chen Lee, et al.
Published: (2024-11-01)

FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research
by: Daniel Mauricio Jimenez Gutierrez, et al.
Published: (2024-01-01)

Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles
by: LIU Miao, et al.
Published: (2024-10-01)

Federated Analytics With Data Augmentation in Domain Generalization Toward Future Networks
by: Xunzheng Zhang, et al.
Published: (2024-01-01)