Search Results for author: Yeojoon Youn

Found 2 papers, 0 papers with code

Randomized Quantization is All You Need for Differential Privacy in Federated Learning

no code implementations20 Jun 2023 Yeojoon Youn, Zihao Hu, Juba Ziani, Jacob Abernethy

To the best of our knowledge, this is the first study that solely relies on randomized quantization without incorporating explicit discrete noise to achieve Renyi DP guarantees in Federated Learning systems.

Federated Learning Quantization

Online Kernel based Generative Adversarial Networks

no code implementations19 Jun 2020 Yeojoon Youn, Neil Thistlethwaite, Sang Keun Choe, Jacob Abernethy

We propose a novel approach that resolves many of these issues by relying on a kernel-based non-parametric discriminator that is highly amenable to online training---we call this the Online Kernel-based Generative Adversarial Networks (OKGAN).

Generative Adversarial Network

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