FedOrbit utilises reinforcement learning for cluster formation, satellite visiting patterns for master satellite selection, and block minifloat arithmetic for power reduction.

Therefore, in this work, we propose Block-FeDL, a blockchain-based Federated Learning (FL) approach for EV charging load forecasting considering private and sensitive charging information of each EV ...

Discover how the integration of Flower and NVIDIA FLARE is transforming the federated learning landscape, combining user-friendly tools with industrial-grade runtime for seamless deployment.

As enterprises struggle to balance AI capabilities against data privacy concerns, federated learning provides the best of both worlds.

Building federated learning with differential privacy to train and refine machine-learning models with more comprehensive datasets can help exploit the potential of machine learning to its fullest.

NVIDIA's federated learning platform enhances autonomous vehicle training by leveraging diverse global data while adhering to privacy regulations. Discover the impact on AV development.

Federated learning incorporated into blockchain protects participants from intrusion attacks using advanced machine learning algorithms [10]. Blockchain improves transparency and trust in IoT systems, ...