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TrustFL: Ensuring Federated Learning Integrity by ibrahem.tariq is a document available to read on EtoBox.

The paper presents TrustFL, a scheme designed to ensure execution assurance in federated learning (FL) environments with untrusted participants by leveraging Trusted Execution Environments (TEEs) and GPUs. TrustFL aims to verify the correctness of local training processes while maintaining high efficiency, addressing issues like model poisoning and lazy participant behavior. The proposed method includes techniques for commitment-based verification and dynamic data selection to enhance security and performan

Author
ibrahem.tariq
Language
EN