This project implements various secure matrix multiplication algorithms using the CKKS (Cheon-Kim-Kim-Song) homomorphic encryption scheme through OpenFHE library. It includes benchmarking tools, tests ...

Abstract: Analog computing-in-memory accelerators promise ultra-low-power, on-device AI by reducing data transfer and energy usage. Yet inherent device variations and high energy consumption for ...

Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...

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