IEEE

A Systematic Literature Review of Distributed Multi-Agent Task Allocation: Core Dimensions, Their Interrelationships, and a Repository

Abstract: As a critical and challenging research area within multi-agent systems (MAS), distributed multi-agent task allocation (D-MATA) has motivated extensive study and application across diverse ...
IEEE

GART: Graph Neural Network-Based Adaptive and Robust Task Scheduler for Heterogeneous Distributed Computing

Abstract: Modern distributed computing systems face significant challenges in achieving optimal resource utilization and maintaining performance stability when operating in heterogeneous cluster ...
The New York Times

The Best AI Scheduling App Makes You Do the Hard Work

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Matthew Guay After a new round of testing, Sunsama is still our favorite ...
Nature

Distributed control circuits across a brain-and-cord connectome

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Nature

Privacy-aware distributed intelligence with tokenized trust for low-latency task offloading in 6G vehicular edge networks

The ultra-dense vehicle scenarios envisioned in 6G put high requirements on ultra-low latency, secure cooperation, and efficient task offloading decisions. Existing systems usually optimize latency or ...