Federated Learning (FL) is an emerging distributed learning paradigm with the privacy-preserving advantage of collaboratively training a shared model across multiple participants. Considering the ...

Abstract: Asynchronous circuits with low power and robustness are revived in emerging applications such as the Internet of Things (IoT) and neuromorphic chips, thanks to clock-less and event-driven ...

As artificial intelligence systems grow larger and more powerful, their energy demands are rising dramatically. But recent research from the University of Massachusetts Amherst published in Nature ...