Jie Wang, Qi Zhou, Xuechun Mao, Ying Chen, Vol. 19, No. 10, October 31, 2025
10.3837/tiis.2025.10.017

• Federated learning
• Privacy Protection
• Split learning
• Split federated learning

Abhishek P Nachankar, Nishat Afshan Ansari, Pooja Jain, Vol. 19, No. 10, October 31, 2025
10.3837/tiis.2025.10.014

• Federated learning
• Smart Traffic
• privacy preservation
• Heterogeneous Data
• communication efficiency
• Scenarios

Zhiqiang Wang, Qianli Huang, Xinyue Yu, Yongguang Gong, Vol. 19, No. 8, August 31, 2025
10.3837/tiis.2025.08.019

• Adaptive
• Differential privacy
• Federated learning
• multiple factors
• privacy budget

Yan Li, Guihua Wen, Bo Liu, Vol. 19, No. 3, March 31, 2025
10.3837/tiis.2025.03.002

• Federated learning
• Non-independent identical distribution
• Bayesian Selective Ensemble
• knowledge distillation
• Stochastic weight average

Bin Qiu, Duan Li, Xian Li, Hailin Xiao, Vol. 18, No. 9, September 30, 2024
10.3837/tiis.2024.09.015

• Federated learning (FL)
• industrial internet of things (IIoT)
• heterogeneity
• Frequency control
• bandwidth allocation.

Zilong Jin, Jin Wang, Lejun Zhang, Vol. 18, No. 6, June 30, 2024
10.3837/tiis.2024.06.003

• clustering
• Federated learning
• Local Differential Privacy (LDP)
• internet of vehicles (IoV)

Zilong Jin, Chi Zhang, Lejun Zhang, Vol. 18, No. 5, May 31, 2024
10.3837/tiis.2024.05.005

• autonomous vehicles
• clustering
• Collaborative Perception
• Personalized Federated Learning

Ruochen Huang, Zhiyuan Wei, Wei Feng, Yong Li, Changwei Zhang, Chen Qiu, Mingkai Chen, Vol. 18, No. 4, April 30, 2024
10.3837/tiis.2024.04.001

• 5G
• Edge Computing Model
• COVID-19
• Federated learning
• SHAP

Sony Peng, Yixuan Yang, Makara Mao, Doo-Soon Park, Vol. 16, No. 2, February 28, 2022
10.3837/tiis.2022.02.020

• Artificial intelligence
• Conventional machine learning
• deep neural network
• Federated learning
• and Federated averaging