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---
title: README
emoji: πŸ‘
colorFrom: gray
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---

<div align=center>
	<img src="https://lins-lab.github.io/assets/img/logo.png" width="70%"/>
</div>

Welcome to the website of the <u>**L**</u>earning and <u>**IN**</u>ference <u>**S**</u>ystems (LINs) Lab at Westlake University!

Our research interests lie in the intersection of optimization and generalization for deep learning:
- leveraging theoretical/empirical understanding (e.g., loss landscape, and training dynamics)
- to design efficient & robust methods (both learning and inference)
- for deep learning (centralized) and collaborative deep learning (distributed and/or decentralized),
- under imperfect environments (e.g., noisy, heterogeneous, and hardware-constrained).

Check our [lab page](https://lins-lab.github.io/) and [github](https://lins-lab/)!