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.AI2024
Hierarchical Blockmodelling for Knowledge Graphs
Marcin Pietrasik, Marek Reformat, Anna Wilbik
In this paper, we investigate the use of probabilistic graphical models, specifically stochastic blockmodels, for the purpose of hierarchical entity clustering on knowledge graphs.…
cs.LG2024
Empirical Capacity Model for Self-Attention Neural Networks
Aki Härmä, Marcin Pietrasik, Anna Wilbik
Large pretrained self-attention neural networks, or transformers, have been very successful in various tasks recently. The performance of a model on a given task depends on its abi…