IEEE

Multi-Agent Deep Reinforcement Learning for Device-enhanced Distributed Task Scheduling in Terminal-edge Collaborative Computing Networks

Abstract: Device-enhanced mobile edge computing (MEC) is an emerging technology designed to handle intensive and delay-sensitive tasks through device-to-device (D2D) communication. In this paper, we ...
IEEE

Deep Reinforcement Learning-Based Collaborative Computation Offloading for Distributed Vehicular Edge Computing

Abstract: In Vehicular Edge Computing (VEC), apart from the Road Side Units (RSUs) that can undertake the computation, smart vehicles that incorporate high-end multi-core processors into On-Board ...
Digi Times

Powertech eyes edge computing PDU market with distributed AI focus

Amid sustained high demand for AI computing power and accelerated deployment of data center expansions and edge AI applications, Powertech expressed an optimistic outlook for its 2026 operations ...
cc.gatech.edu

New CS Grad Reflects on Ph.D. Journey

Last week, Georgia Tech recognized hundreds of students completing their degrees. One of these students is Mirabel Reid, who received her Ph.D. in computer science. Reid started the CS Ph.D. program ...