Integrating AI, federated learning and blockchain technology offers a promising path toward a more secure, efficient and inclusive future for medical AI applications.

Federated learning is also computationally intensive, which may introduce bandwidth, storage space or computing limitations. While the cloud enables on-demand scalability, cybersecurity teams risk ...

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 unveils Federated Learning, a groundbreaking approach offering privacy-preserving machine learning in various sectors.

Flower, a startup building a platform for federated AI model training, has landed a $3.6 million investment from prominent backers. The reliance on public data — mostly web data — to train AI ...

Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However ...

Novartis, Merck, AstraZeneca, and other pharmaceutical companies have successfully deployed a federated learning platform for drug discovery. Skip to main content. Events Video Special Issues Jobs ...