InfoWorld

From distributed monolith to composable architecture on AWS: A modern approach to scalable software

If your “microservices” still deploy like a monolith, maybe it’s time to break free with a truly composable AWS architecture.
IEEE

Distributed Hierarchical Deep Reinforcement Learning for Semantic-Aware Resource Allocation

Abstract: Beyond the traditional quality of experience (QoE) optimization that focuses on bit transmission, taking into account semantic QoE can better optimize the network to improve user experience.
IEEE

Privacy Distributed Constrained Optimization Over Time-Varying Unbalanced Networks and Its Application in Federated Learning

Abstract: This paper investigates a class of constrained distributed zeroth-order optimization (ZOO) problems over time-varying unbalanced graphs while ensuring privacy preservation among individual ...
GitHub

eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels

This repository is the official implementation of "eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels", published in the Thirteenth ...