Project Grant 2311870

Award Date 10/1/23
Completion Date 9/30/26
Dollars Obligated $600K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Los Angeles, CA 90089, USA
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This $240,062 project grant, awarded by the National Science Foundation (NSF) through its Computer and Information Science and Engineering (CISE) Program (CFDA 47.070), aims to develop efficient and scalable hardware architectures for privacy-preserving neural network inference based on ciphertext-ciphertext fully homomorphic encryption (FHE). The research will focus on designing optimized hardware building blocks, such as polynomial multipliers, and a reconfigurable FHE architecture that...
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This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award to the University of Southern California (USC) provides $599,992 from Oct 1, 2023 to Sep 30, 2026 to develop a portable and configurable library to enable secure, resilient, and trustworthy cyberinfrastructure for end-to-end privacy-sensitive machine learning (ML) inference.

The key products and services to be delivered under this award include:

  1. An L1 library of FPGA-accelerated intellectual property (IP) cores for homomorphic encryption (HE) kernels to enable privacy-preserving computations on encrypted data.
  2. An L2 library comprising an FPGA-based application-specific processor (ASP) for inference of widely studied HE ML models.
  3. Innovations in data layout, memory-efficient scheduling, and scalable interconnects to maximize memory utilization and improve data reuse using on-chip memory.
  4. An FPGA accelerator with a domain-specific instruction set architecture (ISA) and a compiler, programmable in software to realize real-time HE ML computations.

This work aims to address the challenge of slow performance and high hardware resource requirements of HE-based ML inference, by leveraging FPGA acceleration to enable wider adoption of privacy-preserving computations in applications like healthcare, finance, and cyber-physical systems.

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