no code implementations • 15 Jun 2023 • Vivian Maloney, Richard F. Obrecht, Vikram Saraph, Prathibha Rama, Kate Tallaksen
Recently, Deep Convolutional Neural Networks (DCNNs) including the ResNet-20 architecture have been privately evaluated on encrypted, low-resolution data with the Residue-Number-System Cheon-Kim-Kim-Song (RNS-CKKS) homomorphic encryption scheme.
no code implementations • 5 Nov 2020 • Kiwan Maeng, Shivam Bharuka, Isabel Gao, Mark C. Jeffrey, Vikram Saraph, Bor-Yiing Su, Caroline Trippel, Jiyan Yang, Mike Rabbat, Brandon Lucia, Carole-Jean Wu
The paper is the first to the extent of our knowledge to perform a data-driven, in-depth analysis of applying partial recovery to recommendation models and identified a trade-off between accuracy and performance.
no code implementations • 8 Jan 2020 • Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
Neural personalized recommendation is the corner-stone of a wide collection of cloud services and products, constituting significant compute demand of the cloud infrastructure.
Distributed, Parallel, and Cluster Computing
no code implementations • 5 Jan 2019 • Vikram Saraph, Maurice Herlihy
In this engine, miners attempt to execute all transactions in a block in parallel, rolling back those that cause data conflicts.
Distributed, Parallel, and Cluster Computing