Categories: FAANG

Local Pan-Privacy for Federated Analytics

Pan-privacy was proposed by Dwork et al. (2010) as an approach to designing a private analytics system that retains its privacy properties in the face of intrusions that expose the system’s internal state. Motivated by federated telemetry applications, we study local pan-privacy, where privacy should be retained under repeated unannounced intrusions on the local state. We consider the problem of monitoring the count of an event in a federated system, where event occurrences on a local device should be hidden even from an intruder on that device. We show that under reasonable constraints, the…
AI Generated Robotic Content

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what ai tool and prompts they using to get this level of perfection?

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The Complete Guide to Model Context Protocol

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Improving Language Model Personas via Rationalization with Psychological Scaffolds

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AI Infrastructure and Ontology

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Hosting NVIDIA speech NIM models on Amazon SageMaker AI: Parakeet ASR

This post was written with NVIDIA and the authors would like to thank Adi Margolin,…

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The Blueprint: How Giles AI transforms medical research with conversational AI

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3 hours ago