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Updated: Jun 17, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

533

个性化联合学习的最小值估计:FedAvg和本地培训之间的替代方案?

Shuxiao Chen1, Qinqing Zheng2, Qi Long1

  • 1University of Pennsylvania.

Journal of machine learning research : JMLR
|August 6, 2024
PubMed
概括

个性化联合学习面临来自数据异质性的挑战. 我们的研究揭示了FedAvg和本地培训之间的权衡,显示每个在不同异质水平下都是最佳的,以获得更好的客户特定结果.

关键词:
算法稳定性 算法稳定性数据异质性 数据异质性经验风险最小化方法联邦学习学习 (Federated Learning) 是一种学习方式.最低限额税率 (minimax rate) 是指最低限额税率 (minimax rate) 是指最低限度税率 (minimax rate) 是指最低限度税率 (minimax rate) 是指最低限度税率 (minimax rate) 是指最低限度税率 (minimax rate) 是指最低限度税率 (minimax rate) 是指最低限度税率 (minimax rate)个性化 个性化

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