东北大学主页平台 YU Yao--Home-- Delay and Energy-Efficient Asynchronous Federated Learning for Intrusion Detection in Heterogeneous Industrial Internet of Things

Paper Publications

Current position: Home >> Scientific Research >> Paper Publications

Delay and Energy-Efficient Asynchronous Federated Learning for Intrusion Detection in Heterogeneous Industrial Internet of Things

Release time:2025-11-28 Hits:

Journal: IEEE Internet of Things Journal

Issue: 11(8)

Volume: 11

Impact Factor: 8.9

DOI number: 10.1109/JIOT.2023.3344457

Page Number: 14739-14754

Translation or Not: no

Pre One:Cross-chain mapping blockchain: Scalable data management in massive IoT networks Next One:Cost-Effective Multi-Type Data Scheduling for Blockchain in Massive Internet of UAVs

NO. 3-11, Wenhua Road, Heping District, Shenyang, P. R. China
Copyright 2020 Northeastern University | 110819 | 辽ICP备11009868号-3 | 85590@mail.neu.edu.cn

Official Website Campus Network Service Website

Mobile phone sweep