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Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem
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.
Vertical Federated Learning: A Structured Literature Review
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.
Depressed individuals express more distorted thinking on social media
Depression is a leading cause of disability worldwide, but is often under-diagnosed and under-treated.
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