PHIL AI Introduces Distributed Edge Compute Architecture to Expand Global AI Infrastructure Access

PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...
Opinion

Quantum Computing Threatens Digital Security: The Urgent Need for Post-Quantum Cryptography

Quantum computing poses a real and growing threat to established cryptographic algorithms like RSA and Elliptic Curve Cryptography (ECC), which form the backbone of digital security for DLT networks ...
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

An Architecture and Prototype for Monitoring Distributed Simulations of Distributed Systems

Abstract: Designing and testing distributed systems can be a daunting task, especially when the system is composed of heterogeneous devices, it is expected to be robust to disruptions, and is meant to ...