Abstract: Owing to the heterogeneous computation and communication capabilities among clients, the synchronous model aggregation in wireless federated learning (FL) is susceptible to the straggler ...

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 ...