Project Grant 2334628
- This $600,000 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) and administered by the Division of Computing and Communication Foundations, supports research at Penn State University from November 1, 2025 through October 31, 2028. The project develops a hybrid privacy-preserving artificial intelligence offloading system that integrates multi-party computing (MPC) with specialized hardware...
- 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...
- The National Science Foundation awarded a $721,000 project grant to the University of Arizona under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to develop a new software platform called DEEPSECURE. DEEPSECURE will integrate essential functions and building blocks to support privacy-preserving and secure machine learning research. It will include a scalable and customizable modular framework with seamlessly integrated libraries, function blocks, and...
- The National Science Foundation (NSF) has awarded a $299,999 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, titled "COLLABORATIVE RESEARCH: CNS CORE: SMALL: A COMPILATION SYSTEM FOR MAPPING DEEP LEARNING MODELS TO TENSORIZED INSTRUCTIONS (DELITE)," will fund research to develop a compilation system that can optimize deep neural network (DNN) workloads for emerging tensorized instruction...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Technology, Innovation, and Partnerships program (CFDA 47.084) awarded $800,000 to Harvard College, effective October 1, 2025 through September 30, 2028, to develop and implement privacy-preserving machine learning (ML) tools through the OpenDP project. The primary deliverable is freely available software that incorporates differentially private stochastic gradient descent (DP-SGD) techniques into OpenDP, an open-source...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA #47.070) program to the University of Illinois for a 4-year collaborative research project on privacy-preserving machine learning on graph-structured data. The project aims to develop innovative, efficient algorithms for training and updating large-scale graph neural network models while preserving the privacy of sensitive graph data across applications in areas...
- Award Summary The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded $250,000 to the University of Alabama, Office for Sponsored Programs, effective January 1, 2026, through November 30, 2026. This collaborative research project addresses a critical gap in differential privacy (DP) implementation by developing privacy-preserving mechanisms directly embedded within device memory rather than relying on traditional software-based approaches. The research delivers innovative...
- This NSF CISE (CFDA 47.070) $600,000 Project Grant awarded to The Pennsylvania State University, doing business as Penn State, will develop methods to reduce privacy risks while enabling users to benefit from high-quality AI-based services. The key goals are to create mathematically-guaranteed privacy-preserving encodings or embeddings that can be used as input for AI-based applications, such as artistic image generation, medical diagnosis, and assistive technologies for the visually impaired....
- This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering (CFDA 47.070) program, provides $274,648 to Clemson University to develop heterogeneous architectures for collaborative machine learning. The research aims to address key challenges in efficiency, adaptivity, and privacy preservation when deploying collaborative machine learning models across diverse hardware platforms. The project will design specialized neural network...
- This $173,754 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop an innovative privacy-preserving federated learning (FL) framework suitable for heterogeneous edge devices. The key objectives are to: 1) enable tailored device-specific models to mitigate biases and enhance performance across diverse computational capabilities and data distributions, 2) utilize differential privacy...
The National Science Foundation (NSF) awarded a $581,966 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Pittsburgh. The grant, awarded on May 1, 2024, with a completion date of April 30, 2027, supports the development of a hardware-software co-design framework to address performance and memory space issues for privacy protection in cloud-based deep learning recommendation systems (DLRMs). Key project objectives include: 1) Designing hardware-software solutions for significant performance improvements in privacy-preserving DLRM deployments, 2) Integrating non-volatile memory to improve memory space utilization, and 3) Exploring DLRM access behaviors to enable secure protocol designs that partition operations between clients and trusted on-chip processors. The project aims to advance how large DLRMs and modern AI models are securely deployed in the cloud, with a focus on serving personalized recommendations while protecting user privacy. No sub-awards are planned under this grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $582.0k | 4/16/24 |