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fedKMeans
Code supporting chapter 4 of the PhD thesis: Federated K-Means Clustering.
7
mentions
2
contributors
Description
Github repository accompanying chapter 4: Federated k-means clustering. repository includes code for reproducing experiments, as well as (synthetic) data used.
Keywords
License
- CC-BY-4.0
Reference papers
Mentions
- 1.Author(s): Markus Bujotzek, Evelyn Trautmann, Calum Hand, Ian HalesPublished in 2025 3rd International Conference on Federated Learning Technologies and Applications (FLTA) by IEEE in 2025, page: 441-44710.1109/flta67013.2025.11336444
- 2.Author(s): Erik Johannes Husom, Rustem Dautov, Arda GoknilPublished in 2025 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) by IEEE in 2025, page: 1-810.1109/acsos-c66519.2025.00025
- 3.Author(s): Ranga Raju Vatsavai, Chris SymonsPublished in 2025 IEEE World AI IoT Congress (AIIoT) by IEEE in 2025, page: 0648-065410.1109/aiiot65859.2025.11105249
- 1.Author(s): Beibei Han, Qingyong WangPublished in Expert Systems with Applications by Elsevier BV in 2026, page: 13191010.1016/j.eswa.2026.131910
- 2.Author(s): Xiaolong Yu, Yuping Zhou, Pengzhan Zheng, Weiwen Wang, Shengqie LiaoPublished in Journal of Imaging Informatics in Medicine by Springer Science and Business Media LLC in 202610.1007/s10278-026-01886-3
- 3.Author(s): Oruba Alfawaz, Ali A. El-Moursy, Mohamed Saad, Ahmed M. KhedrPublished in The Journal of Supercomputing by Springer Science and Business Media LLC in 202510.1007/s11227-025-07296-6
Contributors
MR
Marcel Reinders
SG
Swier Garst
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