Towards Personalized Federated Learning

• Published in: IEEE transaction on neural networks and learning systems Vol. 34; no. 12; pp. 9587 - 9603
• Main Authors: Tan, Alysa Ziying, Yu, Han, Cui, Lizhen, Yang, Qiang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.12.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Architectural design; Artificial intelligence; Collaborative work; Customization; Data models; Data privacy; Edge computing; Federated learning; federated learning (FL); Machine learning; non-IID data; personalized FL (PFL); Privacy; privacy preservation; Servers; statistical heterogeneity; Taxonomy; Training

In parallel with the rapid adoption of artificial intelligence (AI) empowered by advances in AI research, there has been growing awareness and concerns of data privacy. Recent significant developments in the data regulation landscape have prompted a seismic shift in interest toward privacy-preservin...