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Found 2 papers, 1 papers with code
Masked LARk: Masked Learning, Aggregation and Reporting worKflow
We introduce a secure multi-party compute (MPC) protocol that utilizes "helper" parties to train models, so that once data leaves the browser, no downstream system can individually construct a complete picture of the user activity.
Unbiased Estimation of the Value of an Optimized Policy
However, although A/B testing provides an unbiased estimator for the value of deploying B (i. e., switching from policy A to B), direct application of those samples to learn the the optimized policy P generally does not provide an unbiased estimator of the value of P as the samples were observed when constructing P. In situations where the cost and risks associated of deploying a policy are high, such an unbiased estimator is highly desirable.
