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 ...
Frontiers

Distributed Learning for Energy-Aware Multi-Robot Systems

The increasing integration of artificial intelligence and distributed computing into robotics is reshaping how autonomous systems operate, collaborate, and ...
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 ...