19 citations · 19 across the 2 of their papers we have counts for
3 papers
cs.LG2025
VFL-RPS: Relevant Participant Selection in Vertical Federated Learning
Afsana Khan, Marijn ten Thij, Guangzhi Tang +1
Federated Learning (FL) allows collaboration between different parties, while ensuring that the data across these parties is not shared. However, not every collaboration is helpful…
cs.LG2022★ 19 cited
Towards Federated Clustering: A Federated Fuzzy -Means Algorithm (FFCM)
Morris Stallmann, Anna Wilbik
Federated Learning (FL) is a setting where multiple parties with distributed data collaborate in training a joint Machine Learning (ML) model while keeping all data local at the pa…
cs.OH2018
FSS++ Workshop Report: Handling Uncertainty for Data Quality Management
Anna Wilbik
This report describes the results of the eSCF Awareness Workshop on Handling Uncertainty for Data Quality Management - Challenges from Transport and Supply Chain Management that wa…