FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model

arXiv:2211.07160v3 Announce Type: replace
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 …

arxiv clients cs.ai cs.cr cs.lg data distributed distribution exposing federated federated learning global local machine machine learning malicious ownership paradigm risk sharing traceability train unauthorized verification