| Real-time end-to-end federated learning: An automotive case study H Zhang, J Bosch, HH Olsson 2021 IEEE 45th Annual Computers, Software, and Applications Conference …, 2021 | 58 | 2021 |
| Federated learning systems: Architecture alternatives H Zhang, J Bosch, HH Olsson 2020 27th Asia-Pacific Software Engineering Conference (APSEC), 385-394, 2020 | 31 | 2020 |
| Towards continuous data collection from in-service products: Exploring the relation between data dimensions and collection challenges A Dakkak, H Zhang, DI Mattos, J Bosch, HH Olsson 2021 28th Asia-Pacific Software Engineering Conference (APSEC), 243-252, 2021 | 14 | 2021 |
| Efficient learning on high-dimensional operational data FS Samani, H Zhang, R Stadler 2019 15th International Conference on Network and Service Management (CNSM), 1-9, 2019 | 13 | 2019 |
| 5G network on wings: A deep reinforcement learning approach to UAV-based integrated access and backhaul H Zhang, J Li, Z Qi, X Lin, A Aronsson, J Bosch, HH Olsson arXiv preprint arXiv:2202.02006, 2022 | 12 | 2022 |
| Engineering federated learning systems: A literature review H Zhang, J Bosch, H Holmström Olsson Software Business: 11th International Conference, ICSOB 2020, Karlskrona …, 2021 | 11 | 2021 |
| Af-dndf: Asynchronous federated learning of deep neural decision forests H Zhang, J Bosch, HH Olsson, AC Koppisetty 2021 47th euromicro conference on software engineering and advanced …, 2021 | 9 | 2021 |
| Autonomous navigation and configuration of integrated access backhauling for UAV base station using reinforcement learning H Zhang, J Li, Z Qi, X Lin, A Aronsson, J Bosch, HH Olsson 2022 IEEE Future Networks World Forum (FNWF), 184-189, 2022 | 7 | 2022 |
| Deep Reinforcement Learning for Multiple Agents in a Decentralized Architecture: A Case Study in the Telecommunication Domain H Zhang, J Li, Z Qi, A Aronsson, J Bosch, HH Olsson 2023 IEEE 20th International Conference on Software Architecture Companion …, 2023 | 5 | 2023 |
| EdgeFL: A Lightweight Decentralized Federated Learning Framework H Zhang, J Bosch, HH Olsson arXiv preprint arXiv:2309.02936, 2023 | 4 | 2023 |
| Towards Federated Learning: A Case Study in the Telecommunication Domain H Zhang, A Dakkak, DI Mattos, J Bosch, HH Olsson Software Business: 12th International Conference, ICSOB 2021, Drammen …, 2021 | 3 | 2021 |
| Towards Real-World Federated Learning: Empirical Studies in the Domain of Embedded Systems H Zhang PQDT-Global, 2022 | 2 | 2022 |
| Deep Reinforcement Learning in a Dynamic Environment: A Case Study in the Telecommunication Industry H Zhang, J Li, Z Qi, X Lin, A Aronsson, J Bosch, HH Olsson 2022 48th Euromicro Conference on Software Engineering and Advanced …, 2022 | 1 | 2022 |
| Enabling efficient and low-effort decentralized federated learning with the EdgeFL framework H Zhang, J Bosch, HH Olsson Information and Software Technology, 107600, 2024 | | 2024 |
| Dynamic reinforcement learning J Li, Z Qi, LIN Xingqin, A Aronsson, H Zhang, J Bosch, HH OLSSON US Patent App. 18/689,823, 2024 | | 2024 |
| QuaFedAsync: Quality-based Asynchronous Federated Learning for the Embedded Systems H Zhang, J Bosch, HH Olsson 2023 49th Euromicro Conference on Software Engineering and Advanced …, 2023 | | 2023 |
| Multi-Agent Reinforcement Learning in Dynamic Industrial Context H Zhang, J Li, Z Qi, A Aronsson, J Bosch, HH Olsson 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | | 2023 |
Jan BoschProfessor of Software Engineering, Chalmers University of TechnologyПодтвержден адрес электронной почты в домене chalmers.se
