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Updated: Jan 18, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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在非IID数据上进行沟通效率高的联合学习,以拍卖为导向的模型传播

Seyoung Ahn1, Soohyeong Kim1, Yongseok Kwon1

  • 1Department of Computer Science and Engineering, Hanyang University, 15588, South Korea.

Neural networks : the official journal of the International Neural Network Society
|September 10, 2025
PubMed
概括

6G中的联合学习 (FL) 面临着非IID数据的挑战,导致模型分歧. 我们的新FedDif策略通过在聚合之前实现设备对设备的学习来提高全球模型性能并降低通信成本.

关键词:
合作学习学习合作学习.联合学习是联合学习.移动通讯是移动通讯的一种方式.非IID数据的数据

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