Towards Personalized Federated Learning
Alysa Ziying Tan, Han Yu, Lizhen Cui et al.
2022 · IEEE Transactions on Neural Networks and Learning Systems · 1,336 citations
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-preserving AI. This has contributed to the popularity of Federated Learning (FL), the leading paradigm for the training of machine learning models on data silos in a privacy-preserving manner. In this survey, we explore the domain of personalized FL (PFL) to address the fundamental challenges of FL on heter…
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