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title: README |
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<div align=center> |
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<img src="https://lins-lab.github.io/assets/img/logo.png" width="70%"/> |
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Welcome to the website of the <u>**L**</u>earning and <u>**IN**</u>ference <u>**S**</u>ystems (LINs) Lab at Westlake University! |
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Our research interests lie in the intersection of optimization and generalization for deep learning: |
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- leveraging theoretical/empirical understanding (e.g., loss landscape, and training dynamics) |
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- to design efficient & robust methods (both learning and inference) |
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- for deep learning (centralized) and collaborative deep learning (distributed and/or decentralized), |
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- under imperfect environments (e.g., noisy, heterogeneous, and hardware-constrained). |
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Check our [lab page](https://lins-lab.github.io/) and [github](https://lins-lab/)! |
