This $348,573 project grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering federal grant program (CFDA 47.041), will fund research at North Carolina State University from September 2022 through August 2025. The university will advance the frontiers of federated learning through exploring tradeoffs among learning performance, communication efficiency, privacy protection, and system robustness under a generalized hierarchical and hybrid learning framework. This will facilitate integrating intelligent services into future wireless systems and help establish a society where data and knowledge can be shared safely. The research aims to push the limits of algorithmic performance considering various forms of data heterogeneity and communication constraints in personalized and multi-model settings. Privacy will be further enhanced through differential privacy, and tools will be effectively integrated to provide robust privacy protection. The project will culminate in studying relevant problems under a generalized federated learning framework accommodating peer-to-peer learning across devices, edge, and cloud.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $348.6k | 8/3/22 |