CAREER: Distributed Large-scale Machine Learning with Security Guarantees — NSF Award to Purdue University (IN, $326,628)
The colossal scale of Machine Learning (ML) systems today means that only powerful players with sufficient computing resources are able to participate in large-scale ML development. As a result, ML pipelines tend to lack transparency or auditing mechanisms. Reliance on a small number of service providers also jeopardiz
| Award title | CAREER: Distributed Large-scale Machine Learning with Security Guarantees |
|---|---|
| Award ID | 2542372 |
| Awardee | Purdue University |
| City | WEST LAFAYETTE |
| State | IN |
| Amount obligated | $326,628 |
| Principal investigator | Zahra Ghodsi |
| Program | Secure &Trustworthy Cyberspace |
| Start date | 07/01/2026 |
| Abstract | The colossal scale of Machine Learning (ML) systems today means that only powerful players with sufficient computing resources are able to participate in large-scale ML development. As a result, ML pipelines tend to lack transparency or auditing mechanisms. Reliance on a small number of service providers also jeopardizes availability and reliability. Alternatively, ML development can be distributed to a network of volunteer organizations and individuals, mitigating dependency on central supplier |
| Source | NSF Awards |
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