7 citations · 14 across the 4 of their papers we have counts for
4 papers
EdgeFL: A Lightweight Decentralized Federated Learning Framework
Hongyi Zhang, Jan Bosch, Helena Holmström Olsson
Federated Learning (FL) has emerged as a promising approach for collaborative machine learning, addressing data privacy concerns. However, existing FL platforms and frameworks ofte…
5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul
Hongyi Zhang, Zhiqiang Qi, Jingya Li +3
Fast and reliable wireless communication has become a critical demand in human life. In the case of mission-critical (MC) scenarios, for instance, when natural disasters strike, pr…
Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning
Hongyi Zhang, Jingya Li, Zhiqiang Qi +4
Fast and reliable connectivity is essential to enhancing situational awareness and operational efficiency for public safety mission-critical (MC) users. In emergency or disaster ci…
Real-time End-to-End Federated Learning: An Automotive Case Study
Hongyi Zhang, Jan Bosch, Helena Holmström Olsson
With the development and the increasing interests in ML/DL fields, companies are eager to apply Machine Learning/Deep Learning approaches to increase service quality and customer e…