Understanding Differentially Private Fine Tuning Of Language Models
Exploring Differentially Private Fine Tuning Of Language Models reveals several interesting facts. A Google TechTalk, presented by Gautam Kamath, University of Waterloo, at the 2021 Google Federated Learning and Analytics ...
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- Full paper at proceedings.mlr.press/v235/zhang24af.html or arxiv.org/abs/2310.09639 Our code is available at ...
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Detailed Analysis of Differentially Private Fine Tuning Of Language Models
We have come a long way in terms of protecting privacy when training ML models, particularly with large This talk was held on February 24, 2022 as a part of the MLFL series, hosted by the Center for Data Science, UMass Amherst. DP-SGD is the workhorse algorithm for
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