... Privacy (DP), Federated Learning (FL) and blockchain. In addition, this study examines prevalent cyber threats and vulnerabilities related to PP in IoT-integrated SM networks, providing insights into emerging challenges and the need for robust security measures. Findings The analysis reveals...

...Chunlei Li; Zhibo Xing; Jiamou Liu; Giovanni Russello; Zhen Li; Yan Wu; Meng Li; Muhammad Rizwan Asghar Purpose The growing concern over privacy leakage has led to reduced user participation in data sharing, prompting the exploration of novel techniques such as federated learning (FL). Meanwhile...

... (Spain) with the aim of determining the importance of the vehicle routing problem (VRP) and the need to optimize a set of routes for a fleet of autonomous electric vehicles (EAVs). Design/methodology/approach This study has allowed to propose a framework in federated learning for enhanced...

...Tingting Tian; Hongjian Shi; Ruhui Ma; Yuan Liu Purpose For privacy protection, federated learning based on data separation allows machine learning models to be trained on remote devices or in isolated data devices. However, due to the limited resources such as bandwidth and power of local devices...

...Joo Hun Yoo; Hyejun Jeong; Jaehyeok Lee; Tai-Myoung Chung Purpose This study aims to summarize the critical issues in medical federated learning and applicable solutions. Also, detailed explanations of how federated learning techniques can be applied to the medical field are presented. About 80...

... in the collaborative learning model. Tran Khanh Dang can be contacted at: khanh@hufi.edu.vn 14 04 2022 20 06 2022 29 07 2022 © Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Figure 4. Vertical federated learning system...