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arXiv — cs.AI

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标题为英语FairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression for FPGA Deployment

Fairness-aware model compression requires selecting methods and configurations that balance accuracy, fairness, and deployment cost. These decisions become more difficult when compression methods are composed or the user's requirements change. In this paper, we propose…

arXiv — cs.AI作者: Yuanbo Guo, Yiyu Shi2026年9月17日 (9月17日)
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  • Fairness-aware model compression requires selecting methods and configurations that balance accuracy, fairness, and deployment cost
  • These decisions become more difficult when compression methods are composed or the user's requirements change
  • In this paper, we propose…
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FairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression for FPGA Deployment

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