PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations

Research article (IEEE Transactions on Dependable and Secure Computing, 2023) · cited 69× · AI/ML
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PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations

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PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations is a scholarly article[1].

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  • PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations. Retrieved May 24, 2026, from https://4ort.xyz/entity/pile-robust-privacy-preserving-federated-learning-via-verifiable-perturbations
MLA “PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pile-robust-privacy-preserving-federated-learning-via-verifiable-perturbations.
BibTeX @misc{4ortxyz_pile-robust-privacy-preserving-federated-learning-via-verifiable-perturbations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations}}, year = {2026}, url = {https://4ort.xyz/entity/pile-robust-privacy-preserving-federated-learning-via-verifiable-perturbations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations — https://4ort.xyz/entity/pile-robust-privacy-preserving-federated-learning-via-verifiable-perturbations (retrieved 2026-05-24)

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