Provable Privacy in Adversarial Environments: An Analysis of Differential Privacy Guarantees in Federated Learning
Executive Summary Federated Learning (FL) has emerged as a paradigm-shifting approach to distributed machine learning, promising to harness the power of decentralized data while preserving user privacy. By training models Read More …