A true AI ecosystem requires seamless integration of AI infrastructure spanning devices, edge locations, datacenters and the ...

vehicular edge intelligence (VEI) can be fully realized. Traditional centralized learning, as one of the enabling technologies for VEI, places significant strain on network bandwidth while also ...

Abstract: Currently, federated reinforcement learning (FRL) is driving progress in the edge artificial intelligence (AI) sector by effectively addressing a range of environmental challenges through ...

In the quest for more secure and seamless authentication, behavioral biometrics are rapidly emerging as the next frontier in digital identity verification.

Federated analysis has emerged as a promising ... This Nature Research Intelligence Topic summary is one of 30,000 created with generative AI and the cited references. We take care to ground ...

Across sectors, AI is proving to be a game-changing force, shaping the future at lightning speed. Now is the time to innovate, adapt, and lead. AI will play a crucial role in shaping the future of ...

Flower (flwr) is a framework for building federated AI systems. The design of Flower is based on a few guiding principles: Customizable: Federated learning systems vary wildly from one use case to ...

The process was costly and complex, and it delivered suboptimal results. That all changed when they adopted federated learning. Federated learning is emerging as a game-changing approach for ...

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

An Open Framework for Federated Learning.