research
∙
03/26/2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks
Federated learning (FL) is a key enabler for efficient communication and...
share
research
∙
03/20/2022
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design
In recent years, quantum computing (QC) has been getting a lot of attent...
research
∙
02/19/2022
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications
Although deep learning (DL) has already become a state-of-the-art techno...
research
∙
12/05/2021
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
This paper aims to integrate two synergetic technologies, federated lear...
research
∙
08/16/2021
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation
The emergence of quantum computing enables for researchers to apply quan...
research
∙
08/02/2021