May 22, 2025
Federated Learning: Training AI Without Compromising Privacy (2025+)
Federated Learning: Training AI Without Compromising Privacy (2025+) In an increasingly data-driven world, the ability to train artificial intelligence (AI) models is paramount. However, the conventional approach often involves centralizing data, which raises significant privacy concerns. Federated learning (FL) offers a revolutionary solution by enabling AI models to learn from decentralized data residing on users’ devices or edge servers, without directly accessing or sharing the raw data. This article explores the principles, benefits, challenges, and future trends of federated learning. What is Federated Learning? Federated learning is a distributed machine learning technique that trains an algorithm across multiple decentralized devices
