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Suhas Diggavi

Differentially Private Stochastic Linear Bandits: (Almost) for Free

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Jul 07, 2022
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A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy

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Jul 05, 2022
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On Leave-One-Out Conditional Mutual Information For Generalization

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Jul 01, 2022
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Decentralized Multi-Task Stochastic Optimization With Compressed Communications

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Dec 23, 2021
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Coded Estimation: Design of Backscatter Array Codes for 3D Orientation Estimation

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Dec 01, 2021
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QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning

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Jul 29, 2021
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Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning

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Jul 19, 2021
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A Field Guide to Federated Optimization

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Jul 14, 2021
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On the Renyi Differential Privacy of the Shuffle Model

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May 11, 2021
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QuPeL: Quantized Personalization with Applications to Federated Learning

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Feb 23, 2021
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