Hongyi Zhang

Orcid: 0000-0002-4132-6619

Affiliations:
  • Chalmers University of Technology, Gothenburg, Sweden


According to our database1, Hongyi Zhang authored at least 15 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Enabling efficient and low-effort decentralized federated learning with the EdgeFL framework.
Inf. Softw. Technol., 2025

2024
EdgeFL: A Lightweight Decentralized Federated Learning Framework.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
Deep Reinforcement Learning for Multiple Agents in a Decentralized Architecture: A Case Study in the Telecommunication Domain.
Proceedings of the 20th International Conference on Software Architecture, 2023

QuaFedAsync: Quality-based Asynchronous Federated Learning for the Embedded Systems.
Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

Multi-Agent Reinforcement Learning in Dynamic Industrial Context.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
5G Network on Wings: A Deep Reinforcement Learning Approach to UAV-based Integrated Access and Backhaul.
CoRR, 2022

Deep Reinforcement Learning in a Dynamic Environment: A Case Study in the Telecommunication Industry.
Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021
End-to-End Federated Learning for Autonomous Driving Vehicles.
Proceedings of the International Joint Conference on Neural Networks, 2021

Towards Federated Learning: A Case Study in the Telecommunication Domain.
Proceedings of the Software Business - 12th International Conference, 2021

AF-DNDF: Asynchronous Federated Learning of Deep Neural Decision Forests.
Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021

Real-time End-to-End Federated Learning: An Automotive Case Study.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Towards Continuous Data Collection from In-service Products: Exploring the Relation Between Data Dimensions and Collection Challenges.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2020
Engineering Federated Learning Systems: A Literature Review.
Proceedings of the Software Business - 11th International Conference, 2020

Federated Learning Systems: Architecture Alternatives.
Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020


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