Model optimization techniques in personalized federated learning: A survey

Published: 01 Jan 2024, Last Modified: 16 Apr 2025Expert Syst. Appl. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A Comprehensive Review of Contemporary Approaches in Personalized Federated Learning (PFL).•Categorization and classification of various methods and solutions to provide comprehensive taxonomies.•A diverse array of literature that addresses emerging challenges and cutting-edge solutions in the field.•This paper outlines and proposes new research directions that can be pursued by the interested community.
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