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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Anushka Singh

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Empirical Evaluation of DPZero for Private Fine-Tuning of RoBERTa-large on SST-2

This project presents a focused empirical study of DPZero, a scalable differentially private fine-tuning method for language models that avoids backpropagation and instead uses zeroth-order, forward-only updates, and identifies a plausible operating regime for DPZero.

Anushka Singh · 0 citations

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