2 papers
cs.CL2026
Zero-Compute Cross-Lingual Transferability Estimation Using Typological Feature Proxies
Dalton Raphael Harmsen, Swier Garst, Thomas van Osch +2
Cross-lingual transfer describes how knowledge in a source language benefits a target language. Measuring it quantitatively requires broad multilingual pre-training, as prior work…
cs.LG2023
Federated K-means Clustering
Swier Garst, Marcel Reinders
Federated learning is a technique that enables the use of distributed datasets for machine learning purposes without requiring data to be pooled, thereby better preserving privacy…