IEEE

Vertical Federated Learning for Failure-Cause Identification in Disaggregated Microwave Networks

Abstract: Machine Learning (ML) has proven to be a promising solution to provide novel scalable and efficient fault management solutions in modern 5G-and-beyond communication networks. In the context ...

Phase diagram map of ferroelectric properties unlocked with AI in seconds

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...
IEEE

Adaptive waiting time asynchronous federated learning in edge computing

Abstract: Federated learning combined with edge computing has greatly facilitated transportation in real-time applications such as intelligent traffic systems. However, synchronous federated learning ...
GitHub

Self-supervised Model-driven Deep Learning for Two-step Phase-shifting Interferometry

This repository contains the implementation of the paper "Self-supervised model-driven deep learning for two-step phase-shifting interferometry". If you find this project useful, we would be grateful ...