The integration of AI, federated learning and blockchain creates a powerful synergy that can transform healthcare.

As privacy becomes a selling point, federated learning will grow among tech giants and industries where privacy protection is required, like health care.

Federated learning’s popularity is rapidly increasing because it addresses common development-related security concerns.

Federated Learning (FL) stands at the intersection of privacy preservation and decentralized data use, revolutionizing practical machine learning. This approach maintains data on local devices ...

The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.

AI Terminologies 101: Explore Federated Learning, its role in preserving data privacy, mechanics, and applications in various sectors.

Flower, a startup building a platform for federated AI model training, has landed a $3.6 million investment from prominent backers.

This comprehensive survey serves as a valuable resource for researchers and practitioners working in the fields of machine learning, data privacy, and distributed computing. It provides a solid ...

Intel Labs and the Perelman School of Medicine at the University of Pennsylvania today released a joint research study that used federated learning, a distributed machine learning and artificial ...