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the success of ML in science
SaveTotal Grants
1
Total Amount
$0
Provinces Served
1
Top Recipients by Funding Amount
| # | Recipient | Grants | Total Amount |
|---|---|---|---|
| 1 | can significantly reduce the computation time in ML. We initiate a systematic study of the tradeoffs of approximate computation in ML | 1 | $0 |
Geographic Distribution by Province
| Province / Territory | Grants | Total Amount | Share |
|---|---|---|---|
| and to attach measures of nonconvexity to nonconvex functions. (3) Distributed computation has become the norm in handling big datasets. We propose the Bounded Asynchronous Protocol (BAP) to better balance communication and computation in distributed ML systems | 1 | $0 | 0% |
Recent Grants
Recipient
Amount
Year
Purpose
can significantly reduce the computation time in ML. We initiate a systematic study of the tradeoffs of approximate computation in ML
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