Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem

no code implementations • 7 Jul 2023 • Afsana Khan, Marijn ten Thij, Frank Thuijsman, Anna Wilbik

In this paper, we focus on the problem of allocating incentives to the passive parties by the active party based on their contributions to the VFL process.

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Vertical Federated Learning: A Structured Literature Review

no code implementations • 1 Dec 2022 • Afsana Khan, Marijn ten Thij, Anna Wilbik

Federated learning, when applied to data which is partitioned vertically across participants, is able to build a complete ML model by combining local models trained only using the data with distinct features at the local sites.

Vertical Federated Learning