Secure Federated Matrix Factorization via Device-to-Device Model Shuffling by Taisho Sasada, Md. Delwar Hossain, Yuzo Taenaka, Md. Mahbubur Rahman, Youki Kadobayashi

“…Location-Based Recommendation Systems (LBRS) use device location data to suggest nearby hotels, restaurants, and points of interest. …”
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FedITD: A Federated Parameter-Efficient Tuning With Pre-Trained Large Language Models and Transfer Learning Framework for Insider Threat Detection by Zhi Qiang Wang, Haopeng Wang, Abdulmotaleb El Saddik

“…However, there exist challenges: 1) Security and privacy concerns prevent data sharing, making it difficult to train robust models and identify new attacks. 2) The diversity and uniqueness of organizations require localized models, as a universal solution could be more effective. 3) High resource costs, delays, and data security concerns complicate building effective detection systems. …”
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An overview of machine unlearning by Chunxiao Li, Haipeng Jiang, Jiankang Chen, Yu Zhao, Shuxuan Fu, Fangming Jing, Yu Guo

“…Nowadays, machine learning is widely used in various applications. Training a model requires huge amounts of data, but it can pose a threat to user privacy. …”
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Internet of Things Integration in Smart Cities Enhancing Urban Living through Connected Technologies by Gondhalekar Gaurav, Tewari Deeksha, P Balakrishnan, Bhardwaj Indu, Ponnusamy Sivakumar, S Ananthi

“…Citizen-focused design persists through the use of AI-driven mobile applications, open-data platforms, and real-time public engagement that ensures inclusivity, privacy, and transparency. …”
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Refined Judgment of Urban Traffic State Based on Machine Learning and Edge Computing by Lijuan Liu

“…This paper proposes a method to calculate traffic flow parameters, preprocess the traffic flow data, delete irrelevant features, use flow theory to delete wrong data, and change the data in time according to actual needs, carrying out refined discrimination and analysis of urban traffic status. …”
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Exploring opportunities to enhance the quality of pharmacy-based contraceptive service delivery for adolescents and young women in Kenya: a multimethod qualitative study by Tessa Fujisaki, Dismas Congo Ouma, Merceline Awuor, Cellestine Aoko, Syovata Kimanthi, Elizabeth A. Bukusi, Elizabeth K. Harrington

“…Conclusions Our data suggest multiple avenues to improve contraceptive care quality through efforts to enhance privacy and counseling, with the potential for improved reach, person-centeredness, and ultimately reproductive health outcomes for youth. …”
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Decentralized traffic management with Federated Edge AI: a reinforced transnet model for real-time vehicle object detection and collaborative route optimization by C. E. Mohankumar, A. Manikandan

“…The aim is to enhance real-time vehicle detection, optimize traffic routes, and alleviate congestion while ensuring the privacy of sensitive data. The proposed system processes traffic data locally on edge devices, minimizing the need for data transfer and preserving privacy. …”
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Barriers to the utilization of the Sehaty mobile health application in Saudi Arabia: a cross-sectional survey of non-healthcare users by Haitham Alzghaibi

“…Usability challenges, including unintuitive navigation, were also widely reported. Privacy and security concerns—particularly regarding transparency and data protection—were major deterrents to app use. …”
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Exploring artificial intelligence for healthcare from the health professionals’ perspective: The case of limited resource settings by Mulugeta Desalegn Kasaye, Amare Gebrie Getahun, Mulugeta Hayelom Kalayou

“…Conclusions Our study revealed that positive attitude, good knowledge, and formal training are crucial to advance healthcare using AI technologies. In addition, this study identified self-reported AI concerns of the participants such as; privacy and security of data, ethical issues, and accuracy of AI systems. …”
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What Factors Determine the Online Consumer Behavior in This Digitalized World? A Systematic Literature by Muluken Ayalew, Shimelis Zewdie

“…A conventional review strategy was used to address the objective raised above, i.e., systematic strategy, and also, the obtained data were analyzed via content analysis. …”
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Algorithms, allyship, and advice: A qualitative analysis of fertility tracker marketing by Kate Sheridan Clay, Sue Ziebland, John Powell

“…Its critics argue industry uses the moniker to popularise platforms that surveil reproductive data for profit. …”
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Wearable Devices for Training and Patient Monitoring: A Comprehensive Review by Magdalena Kajzar

“…However, challenges such as data accuracy, privacy concerns, and integration with healthcare systems must be addressed and present opportunities for future advancements. …”
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Impact of Artificial Intelligence on Human Resource Management Practices: A Qualitative Study in Hyderabad, Pakistan’s Banking Sector by Sahar Akhtar Mughal, Mohammed Bilal Memon, Faraz Ali Memon

“…The core areas, such as performance evaluation, employee motivation, retention strategies, and ethical practices are highly influenced by AI. Simultaneously, its use raises new concerns, for instance, data privacy. …”
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An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM) by Zhigang Yu, Jiahui Liu, Mingchuan Yang, Yanmin Cheng, Jie Hu, Xinchi Li

“…First, the online extreme learning machine can use a small amount of misclassified user data to update the parameters so that its performance is improved for individual users. …”
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A Survey on Public Key Encryption with Keyword Search: Taxonomy and Methods by M.H. Noorallahzade, R. Alimoradi, A. Gholami

“…Given the many benefits that cloud computing brings, organizations tend to outsource most of their data to reduce a large portion of their costs, but concern about the privacy of data is a major obstacle to outsourcing sensitive data. …”
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Challenges of online teaching and adaptation strategies among Iranian female teachers during the COVID-19 pandemic: a qualitative study by Javad Yoosefi lebni, Seyed Fahim Irandoost, Mandana Saki, Masoud Behzadifar, Ahmad Ahmadi

“…Data analysis was carried out using the Colaizzi approach in MAXQDA-2018 software, and the Guba and Lincoln criteria were used to improve the quality of the findings. …”
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Evaluation of the strategy for implementing the GLA:D programme in Switzerland: protocol for an implementation-effectiveness hybrid type 3 design study with a mixed-method approach by Karin Niedermann, Lea Ettlin, Marina Bruderer-Hofstetter, Anne-Kathrin Rausch-Osthoff, Irina Nast, Olivier Gaugler

“…The study population will be the healthcare professionals who are involved in the conservative management of knee OA in Switzerland, that is, physiotherapists and medical doctors, and their patients.Ethics and dissemination The use of the registry data containing data of patients participating in the GLA:D Switzerland OA programme does not fall within the scope of the Swiss Human Research Act (BASEC-Nr. …”
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Assessing the Effects of Cancer Diagnosis and Coping Strategies on Patients in Vhembe District Hospitals, Limpopo Province by Dorah Ursula Ramathuba, Takalani Friddah Rafundisani, Maria Sonto Maputle

“…A self-administered questionnaire was used to collect data, and the data were analyzed using a software package for descriptive statistics (SPSS version 23). …”
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Two crates of beer and 40 pizzas: the adoption of innovative political behavioural targeting techniques by Tom Dobber, Damian Trilling, Natali Helberger, Claes H. de Vreese

“…Political campaigns increasingly use data to (micro)target voters with tailored messages. …”
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Does metaverse improve recommendations quality and customer trust? A user-centric evaluation framework based on the cognitive-affective-behavioural theory by Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Osama Halabi, Raian Ali

“…They can analyse large amounts of data using machine learning algorithms and predictive analytics capabilities to provide highly relevant recommendations to users. …”
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