Towards Personalized Federated Learning. (arXiv:2103.00710v2 [cs.LG] UPDATED)

In parallel with the rapid adoption of Artificial Intelligence (AI) empowered
by advances in AI research, there have been growing awareness and concerns of
data privacy. Recent significant developments in the data regulation landscape
have prompted a seismic shift in interest towards 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 …

arxiv federated learning learning personalized