This $299,996 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop novel distributed processing algorithms and frameworks for analyzing massive datasets. The key objectives are to create iterative algorithms that can effectively handle distributed, dynamic, and stochastic data processing scenarios, going beyond the limitations of synchronous, error-free data processing. The research will expand the Approximate Message Passing framework to enable efficient distributed computation, dynamic data updates, and non-asymptotic performance guarantees. This work will also train students to be experts in distributed processing of large-scale data. The award recipient is Trustees of Boston University, a private non-profit research university, and the project period runs from June 2025 through May 2028. No sub-awards are planned under this grant.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $300.0k | 6/2/25 |