Federated Learning Systems: Architecture Alternatives. - Hongyi Zhang 001; Jan Bosch; Helena Holmström Olsson (APSEC, 2020)

Engineering Federated Learning Systems: A Literature Review. - Hongyi Zhang 001; Jan Bosch; Helena Holmström Olsson (ICSOB, 2020)

Towards Continuous Data Collection from In-service Products: Exploring the Relation Between Data Dimensions and Collection Challenges. - Anas Dakkak; Hongyi Zhang 001; David Issa Mattos; Jan Bosch; Helena Holmström Olsson (APSEC, 2021)

Real-time End-to-End Federated Learning: An Automotive Case Study. - Hongyi Zhang 001; Jan Bosch; Helena Holmström Olsson (COMPSAC, 2021)

AF-DNDF: Asynchronous Federated Learning of Deep Neural Decision Forests. - Hongyi Zhang 001; Jan Bosch; Helena Holmström Olsson; Ashok Chaitanya Koppisetty (SEAA, 2021)

Towards Federated Learning: A Case Study in the Telecommunication Domain. - Hongyi Zhang 001; Anas Dakkak; David Issa Mattos; Jan Bosch; Helena Holmström Olsson (ICSOB, 2021)

End-to-End Federated Learning for Autonomous Driving Vehicles. - Hongyi Zhang 001; Jan Bosch; Helena Holmström Olsson (IJCNN, 2021)

Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning. - Hongyi Zhang 001; Jingya Li 002; Zhiqiang Tyler Qi; Xingqin Lin; Anders Aronsson; Jan Bosch; Helena Holmström Olsson (FNWF, 2022)

Deep Reinforcement Learning in a Dynamic Environment: A Case Study in the Telecommunication Industry. - Hongyi Zhang 001; Jingya Li 002; Zhiqiang Tyler Qi; Xingqin Lin; Anders Aronsson; Jan Bosch; Helena Holmström Olsson (SEAA, 2022)

5G Network on Wings: A Deep Reinforcement Learning Approach to UAV-based Integrated Access and Backhaul. - Hongyi Zhang 001; Jingya Li 002; Zhiqiang Tyler Qi; Xingqin Lin; Anders Aronsson; Jan Bosch; Helena Holmström Olsson (CoRR, 2022)

Multi-Agent Reinforcement Learning in Dynamic Industrial Context. - Hongyi Zhang 001; Jingya Li 002; Zhiqiang Tyler Qi; Anders Aronsson; Jan Bosch; Helena Holmström Olsson (COMPSAC, 2023)

QuaFedAsync: Quality-based Asynchronous Federated Learning for the Embedded Systems. - Hongyi Zhang 001; Jan Bosch; Helena Holmström Olsson (SEAA, 2023)

Deep Reinforcement Learning for Multiple Agents in a Decentralized Architecture: A Case Study in the Telecommunication Domain. - Hongyi Zhang 001; Jingya Li 002; Zhiqiang Tyler Qi; Anders Aronsson; Jan Bosch; Helena Holmström Olsson (ICSA-C, 2023)

EdgeFL: A Lightweight Decentralized Federated Learning Framework. - Hongyi Zhang 001; Jan Bosch; Helena Holmström Olsson (COMPSAC, 2024)

Enabling efficient and low-effort decentralized federated learning with the EdgeFL framework. - Hongyi Zhang 001; Jan Bosch; Helena Holmström Olsson (Inf. Softw. Technol., 2025)