Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

The radio broadcast “air chain” is rapidly evolving from a linear, hardware-defined signal path into a flexible, software-driven ecosystem.

Abstract: Distributed training is the most common way to scale out and accelerate Deep Neural Network (DNN) training. Distributed DNN training requires synchronization of gradient aggregation among ...

Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...