FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model

arXiv:2211.07160v3 Announce Type: replace-cross
Abstract: Federated learning (FL) is a distributed machine learning paradigm allowing multiple clients to collaboratively train a global model without sharing their local data. However, FL entails exposing the model to various participants. This poses a risk of unauthorized model distribution or resale by the malicious client, compromising the intellectual property rights of the FL group. To deter such misbehavior, it is essential to establish a mechanism for verifying the ownership of the model and as …

abstract arxiv cs.ai cs.cr cs.lg data distributed distribution federated learning global machine machine learning multiple ownership paradigm risk traceability train type verification