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 ...

Data To Compute: Enabling AI Reasoning

When I look at where we are today as an industry, it feels a lot like the early days of the internet all over again.
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 ...