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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.03110 |
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| _version_ | 1866916930904915968 |
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| author | Teng, Yunfei Zhang, Sixin |
| author_facet | Teng, Yunfei Zhang, Sixin |
| contents | While Sharpness-Aware Minimization (SAM) improves generalization in deep neural networks by minimizing both loss and sharpness, it suffers from inefficiency in distributed large-batch training. We present Landscape-Smoothed SAM (LSAM), a novel optimizer that preserves SAM's generalization advantages while offering superior efficiency. LSAM integrates SAM's adversarial steps with an asynchronous distributed sampling strategy, generating an asynchronous distributed sampling scheme, producing a smoothed sharpness-aware loss landscape for optimization. This design eliminates synchronization bottlenecks, accelerates large-batch convergence, and delivers higher final accuracy compared to data-parallel SAM. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_03110 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Teng, Yunfei Zhang, Sixin Machine Learning While Sharpness-Aware Minimization (SAM) improves generalization in deep neural networks by minimizing both loss and sharpness, it suffers from inefficiency in distributed large-batch training. We present Landscape-Smoothed SAM (LSAM), a novel optimizer that preserves SAM's generalization advantages while offering superior efficiency. LSAM integrates SAM's adversarial steps with an asynchronous distributed sampling strategy, generating an asynchronous distributed sampling scheme, producing a smoothed sharpness-aware loss landscape for optimization. This design eliminates synchronization bottlenecks, accelerates large-batch convergence, and delivers higher final accuracy compared to data-parallel SAM. |
| title | LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2509.03110 |