19 citations · 19 across the 2 of their papers we have counts for
3 papers · 1 filter
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…
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem
Afsana Khan, Marijn ten Thij, Frank Thuijsman +1
Vertical federated learning (VFL) is a promising approach for collaboratively training machine learning models using private data partitioned vertically across different parties. I…
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…