Abstract: Vertical Federated Learning (VFL) is a trending distributed learning paradigm that facilitates collaborative model training over feature-partitioned datasets while preserving data privacy.
Abstract: Vertical Split Federated Learning (VSFL) allows participants to collaboratively train a better model with different features vertically partitioned in the same sample space, where the model ...
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