Distributed model cache-driven device-cloud collaboration in adaptive video analytics
In video analysis, data drift is one of the main issues affecting system inference performance. To address this, this paper proposes a mobile-oriented edge-cloud collaborative continuous learning framework. Specifically, this framework deploys a model caching on resource-constrained mobile devices a...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2025-05-01
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| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025036/ |
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