2 papers
cs.CR2026
Accurate, private, secure, federated U-statistics with higher degree
Quentin Sinh, Jan Ramon
We study the problem of computing a U-statistic with a kernel function f of degree k 2, i.e., the average of some function f over all k-tuples of instances, in a federated le…
cs.LG2024
SoK: Verifiable Cross-Silo FL
Aleksei Korneev, Jan Ramon
Federated Learning (FL) is a widespread approach that allows training machine learning (ML) models with data distributed across multiple devices. In cross-silo FL, which often appe…