Collaborative Research: CSR: Medium: Enhancing Energy Awareness for Efficient Federated Le — NSF Award to Stevens Institute of Tec
Federated Learning (FL) has emerged as a popular distributed machine learning paradigm in a wide range of sectors (e.g., healthcare, fintech, and autonomous driving) because of its potential of protecting people’s privacy - it does not require gathering all the data in one place for operation. Meanwhile, driven by the
| Award title | Collaborative Research: CSR: Medium: Enhancing Energy Awareness for Efficient Federated Le |
|---|---|
| Award ID | 2534286 |
| Awardee | Stevens Institute of Technology |
| City | HOBOKEN |
| State | NJ |
| Amount obligated | $344,586 |
| Principal investigator | Hao Wang |
| Program | Special Projects - CNS, CSR-Computer Systems Research |
| Start date | 10/01/2024 |
| Abstract | Federated Learning (FL) has emerged as a popular distributed machine learning paradigm in a wide range of sectors (e.g., healthcare, fintech, and autonomous driving) because of its potential of protecting people’s privacy - it does not require gathering all the data in one place for operation. Meanwhile, driven by the increasing ubiquity of mobile devices, FL applications are shifting from wall-plug powered artificial intelligence (AI) devices to battery-powered mobile AI systems (e.g., smartpho |
| Source | NSF Awards |
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