“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel ...

Distributed optimization underpins key functionalities of numerous engineered systems such as smart grids, intelligent transportation, and smart cities. It is also reshaping the landscape of machine ...

Abstract: The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-generation communication networks with their extraordinary flexibility, affordability, and the ability to ...

Abstract: As an important research direction of distributed intelligence, distributed non-cooperative game (DNCG) mainly involves algebraic graph theory, distributed learning, multi-agent system (MAS) ...

ADELPHI, Md. -- A new algorithm is enabling deep learning that is more collaborative and communication-efficient than traditional methods. Army researchers developed algorithms that facilitate ...

Computer scientists, using a divide-and-conquer approach that leverages the power of compressed sensing, have shown they can train the equivalent of a 100 billion-parameter distributed deep learning ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Senyo Simpson discusses how Rust's core ...

This project explores the concept of simulating a multi-GPU environment using only a single GPU. By dynamically managing memory and using PyTorch and PyTorch Lightning, it allows users to experience ...