<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gradient Sparsity | Mingkai Zheng's Homepage</title><link>https://zhengmk.github.io/tag/gradient-sparsity/</link><atom:link href="https://zhengmk.github.io/tag/gradient-sparsity/index.xml" rel="self" type="application/rss+xml"/><description>Gradient Sparsity</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Mon, 12 May 2025 00:00:00 +0000</lastBuildDate><image><url>https://zhengmk.github.io/media/icon_hu0158c3d4eaa2a6b730ca31a67c18838d_142122_512x512_fill_lanczos_center_2.png</url><title>Gradient Sparsity</title><link>https://zhengmk.github.io/tag/gradient-sparsity/</link></image><item><title>Radius: Range-based Gradient Sparsity for Large Foundation Model Pre-training</title><link>https://zhengmk.github.io/publication/radius-range-based-gradient-sparsity-for-large-foundation-model-pre-training/</link><pubDate>Mon, 12 May 2025 00:00:00 +0000</pubDate><guid>https://zhengmk.github.io/publication/radius-range-based-gradient-sparsity-for-large-foundation-model-pre-training/</guid><description/></item></channel></rss>