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Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning.

, , , , , and . IPDPS, page 628-638. IEEE, (2022)

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Other publications of authors with the same name

DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware., , and . CoRR, (2022)Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning., , , , , and . IPDPS, page 628-638. IEEE, (2022)Differentially Private Heavy Hitter Detection using Federated Analytics., , , , , , , and . SaTML, page 512-533. IEEE, (2024)Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning., , , , , and . CoRR, (2021)Privacy and Integrity Preserving Training Using Trusted Hardware., , and . CoRR, (2021)Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition., , , and . ICASSP, page 7702-7706. IEEE, (2022)DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware., , and . MICRO, page 212-224. ACM, (2021)MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage., , and . IPDPS, page 245-255. IEEE, (2021)PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs., , and . CoRR, (2019)Byzantine-Robust and Privacy-Preserving Framework for FedML., , , and . CoRR, (2021)