David Jin, M.Sc.
- Research Associate
- Room: 2B-04
CS 05.20 - david jin ∂does-not-exist.kit edu
- Kaiserstr. 89
76133 Karlsruhe
Research Interest
- Collaborative Distributed Machine Learning Systems (e.g., federated learning, swarm learning, and assisted learning)
- Multi-agent Systems/Agent-based Modeling
- Robustness
- Collective Intelligence
If you are interested in a thesis or a assistant research job in one of the mentioned areas, feel free to contact me. I am always on the lookout for motivated and interested students.
| Title | Type | Semester | Place |
|---|---|---|---|
| Critical Information Infrastructures | Lecture | Every winter semester | Building 05.20 - KIT-Campus South |
Selected Publications
2024
Journal Articles
Collaborative Distributed Machine Learning
Jin, D.; Kannengießer, N.; Rank, S.; Sunyaev, A.
2024. ACM Computing Surveys. doi:10.1145/3704807
Jin, D.; Kannengießer, N.; Rank, S.; Sunyaev, A.
2024. ACM Computing Surveys. doi:10.1145/3704807
2023
Reports/Preprints
A Design Toolbox for the Development of Collaborative Distributed Machine Learning Systems
Jin, D.; Kannengießer, N.; Rank, S.; Sunyaev, A.
2023. doi:10.5445/IR/1000162704
Jin, D.; Kannengießer, N.; Rank, S.; Sunyaev, A.
2023. doi:10.5445/IR/1000162704
2022
Conference Papers
Tackling Challenges of Robustness Measures for Autonomous Agent Collaboration in Open Multi-Agent Systems
Jin, D.; Kannengießer, N.; Sturm, B.; Sunyaev, A.
2022. Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, 03.01.2022-07.01.2022, 7585–7594. doi:10.24251/HICSS.2022.911
Jin, D.; Kannengießer, N.; Sturm, B.; Sunyaev, A.
2022. Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, 03.01.2022-07.01.2022, 7585–7594. doi:10.24251/HICSS.2022.911