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Federated Class-Incremental Learning with New-Class Augmented Self-Distillation

Zhi-Yuan Wu Tian-Liu He Sheng Sun Yu-Wei Wang Min Liu Bo Gao Xue-Feng Jiang

Journal of Computer Science & Technology2025，Vol.40Issue(5)：P.1427-1437,11.

Journal of Computer Science & Technology2025，Vol.40Issue(5)：P.1427-1437,11.DOI:10.1007/s11390-025-5186-5

Federated Class-Incremental Learning with New-Class Augmented Self-Distillation

Zhi-Yuan Wu ¹Tian-Liu He ¹Sheng Sun ²Yu-Wei Wang ²Min Liu ³Bo Gao ⁴Xue-Feng Jiang¹

作者信息

1. Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China University of Chinese Academy of Sciences,Beijing 100190,China
2. Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China
3. Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China Zhongguancun Laboratory,Beijing 100190,China
4. School of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China
折叠

摘要

关键词

federated learning/class-incremental learning/knowledge distillation

分类

信息技术与安全科学

引用本文复制引用

Zhi-Yuan Wu,Tian-Liu He,Sheng Sun,Yu-Wei Wang,Min Liu,Bo Gao,Xue-Feng Jiang..Federated Class-Incremental Learning with New-Class Augmented Self-Distillation[J].Journal of Computer Science & Technology,2025,40(5):P.1427-1437,11.

基金项目

supported by the National Key Research and Development Program of China under Grant No.2023YFB2703700 （）

the National Natural Science Foundation of China under Grant No.62472410. （）

Journal of Computer Science & Technology

ISSN：1000-9000

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