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Code generation can be both private and high-utility, with PrivCode++ achieving superior results by safeguarding both prompts and snippets.
Federated differentially private data synthesis can now achieve utility comparable to centralized approaches, even with heterogeneous data distributions, thanks to a novel framework that smartly handles noise and redundancy.
