Prive-HD: Privacy-Preserved Hyperdimensional Computing
DAC, pp. 1-6, 2020.
The privacy of data is a major challenge in machine learning as a trained model may expose sensitive information of the enclosed dataset. Besides, the limited computation capability and capacity of edge devices have made cloud-hosted inference inevitable. Sending private information to remote servers makes the privacy of inference also ...More
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