Murat Bilgehan Ertan
PulseAugur coverage of Murat Bilgehan Ertan — every cluster mentioning Murat Bilgehan Ertan across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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DP-SGD faces fundamental privacy-utility trade-off limitations
A new research paper published on arXiv details fundamental limitations in Differentially Private Stochastic Gradient Descent (DP-SGD), a common method for private model training. The study, analyzing DP-SGD under the $…
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New DP-SGD subsampling methods offer improved privacy-utility trade-offs
Two new research papers explore optimized subsampling techniques for Differentially Private Stochastic Gradient Descent (DP-SGD). The first paper, focusing on random shuffling, provides tight upper and lower bounds with…
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PACZero enables PAC-private fine-tuning of language models with usable utility
Researchers have developed PACZero, a novel method for fine-tuning large language models that offers strong privacy guarantees. This approach utilizes sign quantization of gradients to achieve a privacy regime where mem…