private-benchmarking

Benchmarking

A platform for private benchmarking of machine learning models with different trust levels.

A platform that enables users to perform private benchmarking of machine learning models. The platform facilitates the evaluation of models based on different trust levels between the model owners and the dataset owners.

GitHub

7 stars
3 watching
1 forks
Language: Python
last commit: about 2 years ago
benchmarkingconfidential-computingcontaminationezpcinferencelarge-language-modelsllms-benchmarkingmpcplatformprivateprivate-benchmarkingsecuretrusted-execution-environment

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