Abstract: Synchronous federated learning (FL) is a popular paradigm for collaborative edge learning. It typically involves a set of heterogeneous devices locally training neural network (NN) models in ...

Researchers challenge the "efficiency" theory of the brain, showing that neurons become more coordinated and share more ...

Discover the brain science behind how birds learn to sing, from song nuclei to social cues and critical learning windows.

He began his studies during the coronavirus pandemic - initially purely digitally, later switching constantly between online ...

Abstract: Deep reinforcement learning (DRL) is a promising way to develop autonomous driving decision-making models. However, poor driving decisions and low sample efficiency for multiple DRL coupled ...

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...

In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...