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Differentially Private Training of Mixture of Experts Models

Differentially Private Training of Mixture of Experts Models

11 February 2024
Pierre Tholoniat
Huseyin A. Inan
Janardhan Kulkarni
Robert Sim
    MoE
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Papers citing "Differentially Private Training of Mixture of Experts Models"

6 / 6 papers shown
Title
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation
Rob Romijnders
Stefanos Laskaridis
Ali Shahin Shamsabadi
Hamed Haddadi
57
0
0
25 Apr 2025
Mixture-of-Experts with Expert Choice Routing
Mixture-of-Experts with Expert Choice Routing
Yan-Quan Zhou
Tao Lei
Han-Chu Liu
Nan Du
Yanping Huang
Vincent Zhao
Andrew M. Dai
Zhifeng Chen
Quoc V. Le
James Laudon
MoE
147
326
0
18 Feb 2022
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
134
344
0
13 Oct 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
267
1,808
0
14 Dec 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
Efficient Per-Example Gradient Computations
Efficient Per-Example Gradient Computations
Ian Goodfellow
163
73
0
07 Oct 2015
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