Privacy-Preserving Machine Learning at the Edge: A Comparative Study of Federated Learning, Differential Privacy, and Secure Aggregation
The increasing use of artificial intelligence on smartphones, Internet of Things devices, edge servers, and other distributed platforms has created new opportunities for intelligent applications but has also intensified concerns regarding the privacy of machine-learning data. Conventional centralized machine learning r...