BriefGPT.xyz
Nov, 2023
基于变分自编码器的联邦主题模型与模型修剪
Federated Topic Model and Model Pruning Based on Variational Autoencoder
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Chengjie Ma, Yawen Li, Meiyu Liang, Ang Li
TL;DR
提出了一种以变分自编码器为基础的联邦主题模型修剪方法,可在保护模型隐私的同时大大加速模型训练速度。
Abstract
topic modeling
has emerged as a valuable tool for discovering patterns and topics within large collections of documents. However, when cross-analysis involves multiple parties,
data privacy
becomes a critical con
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