activity
20192026
most citedImproving Federated Learning Personalization via Model Agnostic Meta Learning

365 citations · 537 across the 15 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.LG2024★ 4 cited

Fine-Tuning Large Language Models with User-Level Differential Privacy

Zachary Charles, Arun Ganesh, Ryan McKenna +4

We investigate practical and scalable algorithms for training large language models (LLMs) with user-level differential privacy (DP) in order to provably safeguard all the examples…

cs.DC2024

DrJAX: Scalable and Differentiable MapReduce Primitives in JAX

Keith Rush, Zachary Charles, Zachary Garrett +2

We present DrJAX, a JAX-based library designed to support large-scale distributed and parallel machine learning algorithms that use MapReduce-style operations. DrJAX leverages JAX'…