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Non-IID Data Based Federated Learning Using Mutual Knowledge Distillation and Generative Adversarial Network

Yang He Weimin Peng

哈尔滨工业大学学报（英文版）2026，Vol.33Issue(2)：17-30,14.

哈尔滨工业大学学报（英文版）2026，Vol.33Issue(2)：17-30,14.DOI:10.11916/j.issn.1005-9113.25011

Non-IID Data Based Federated Learning Using Mutual Knowledge Distillation and Generative Adversarial Network

Yang He ¹Weimin Peng²

作者信息

1. School of Computer Science and Technology,Hangzhou Dianzi University,Hangzhou 310000,China
2. Key Laboratory of Discrete Industrial Internet of Things,Hangzhou Dianzi University,Hangzhou 310000,China
折叠

摘要

关键词

federated learning/non-independently and identically distributed/knowledge distillation/generative adversarial network

Key words

federated learning/non-independently and identically distributed/knowledge distillation/generative adversarial network

分类

信息技术与安全科学

引用本文复制引用

Yang He,Weimin Peng..Non-IID Data Based Federated Learning Using Mutual Knowledge Distillation and Generative Adversarial Network[J].哈尔滨工业大学学报（英文版）,2026,33(2):17-30,14.

基金项目

Sponsored National Key R&D Program of China(Grant No.2024YFB3310800)and Zhejiang Provincial Science and Technology Plan Project(Grant No.2023C01147). （Grant No.2024YFB3310800）

哈尔滨工业大学学报（英文版）

ISSN：1005-9113

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