Enhancing Privacy in Distributed Intelligent Vehicles With Information Bottleneck Theory
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DOI: 10.1109/jiot.2024.3434627
Abstract: Vertical federated learning (VFL) shows promise for enabling collaborative learning among Internet of Vehicle systems (IoVs) without requiring the sharing of private training data. However, existing work has exposed VFL’s vulnerability to privacy-stealing attacks, where… read more here.
Keywords: bottleneck theory; information; privacy; information bottleneck ... See more keywords