DIST-FL
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Related Articles from SNS
DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning
arXiv:2606.04899v1 Announce Type: new Abstract: Trusted Execution Environments (TEEs)-aided federated learning protocols emerge as promising solutions to counter server-side adversaries and ensure the trustworthiness of the server. In this paper, we dissect existing protocols and demonstrate that server-side adversaries can still manipulate client selection and replay aggregation to compromise system robustness and privacy, by exploiting TEE limitations, i.e., state rollback and I/O...
DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning
arXiv:2606.04899v2 Announce Type: replace Abstract: Trusted Execution Environments (TEEs)-aided federated learning protocols emerge as promising solutions to counter server-side adversaries and ensure the trustworthiness of the server. In this paper, we dissect existing protocols and demonstrate that server-side adversaries can still manipulate client selection and replay aggregation to compromise system robustness and privacy, by exploiting TEE limitations, i.e., state rollback and I/O...