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Updated: Jun 22, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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基于学习的智能广告联合的综合架构

Rasool Seyghaly1, Jordi Garcia1, Xavi Masip-Bruin1

  • 1UPC BarcelonaTECH, CRAAX Laboratory, 08800 Vilanova, Spain.

Sensors (Basel, Switzerland)
|June 27, 2024
PubMed
概括

本研究介绍了使用联合学习 (FL) 进行智能广告的新型数据架构. 该系统显著减少了50%以上的网络流量和CPU使用量,即使用户增加了20倍,同时保持了广告准确性.

关键词:
数据架构数据架构数据验证数据的验证.边缘计算是一种边缘计算.联合学习的联合学习机器学习模型机器学习模型网络资源的消耗 网络资源的消耗个性化的广告个性化的广告保护隐私 保护隐私 保护隐私聪明的广告 聪明的广告用户参与度用户参与度

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