Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

“…However, the deep prediction model requires users to provide a large amount of private electricity consumption data, which has potential privacy risks. Edge nodes can federally train a global model through aggregation using federated learning (FL). …”
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Relative Applicability of Diverse Automatic Speech Recognition Platforms for Transcription of Psychiatric Treatment Sessions by Rana Zeeshan, John Bogue, Mamoona Naveed Asghar

“…Although such models are good enough for most use cases, storing audio recordings in psychiatry complicates the data handling and adoption of ASR platforms in mental healthcare. …”
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Sexting in young adults’ social networks in Brazil: an exploratory study on the circulation of nudes by Aroldo de Lara Cardoso Júnior, Liliana Liviano Wahba

“…Results A negative statistical correlation between Problematic Internet Use and body satisfaction was found, with 4 thematic categories emerging in qualitative data: (1) feeling of being pressured, (2) nudes as a condition for further social contact, (3) conformity to body standards and (4) fear of undue exposure and loss of control. …”
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The Risk of Linked Census Data to Transgender Youth by Abraham Flaxman, Os Keyes

“…Our simulation found that the TopDown configuration attains the maximum achievable level of privacy protection against such an attack. Our results demonstrate the importance of disclosure avoidance for census data and suggest that the TopDown approach used by the Census Bureau is a substantial improvement compared to the previous approach, achieving the maximum level of privacy protection possible against such a linkage attack. …”
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Photography in the Age of Surveillance: Ethics and the Photographer’s Responsibility by Çeyiz MAKAL FAIRCLOUGH

“…This paper explores how certain photographers, including Hasan Elahi and Trevor Paglen, have responded to the dominance of surveillance culture by using their work to critique and resist its normalisation. …”
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Anonymous Authentication Scheme Based on Physically Unclonable Function and Biometrics for Smart Cities by Vincent Omollo Nyangaresi, Ahmad A. AlRababah, Ganesh Keshaorao Yenurkar, Ravikumar Chinthaginjala, Muhammad Yasir

“…However, the vulnerabilities in the underlying smart city technologies, interconnection of heterogeneous devices, and transfer of data over the open public channels expose these networks to a myriad of security and privacy threats. …”
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FedSW-TSAD: SWGAN-Based Federated Time Series Anomaly Detection by Xiuxian Zhang, Hongwei Zhao, Weishan Zhang, Shaohua Cao, Haoyun Sun, Baoyu Zhang

“…As distributed sensing technologies evolve, the collection of time series data is becoming increasingly decentralized, which introduces serious challenges for both model training and data privacy protection. …”
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Synthetic Financial Data: A Case Study Regarding Polish Limited Liability Companies Data by Aleksandra Szymura

“…Due to the statistical similarity with real data, they can be used instead of them. This action allows data to be shared externally while guaranteeing their privacy. …”
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It’s Fine If Others Do It Too: Privacy Concerns, Social Influence, and Political Expression on Facebook in Canada, France, Germany, the United Kingdom, and the United States by Christian Pieter Hoffmann, Shelley Boulianne

“…We use survey data gathered in 2023 from Canada, France, Germany, the United Kingdom, and the United States ( n  = 5,936). …”
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Predicting digital contact tracing tool adoption during COVID-19 from the perspective of TAM: The role of trust, fear, privacy, anxiety, and social media by Adi Alsyouf, Ala’a M Al-Momani, Nizar Alsubahi, Abdalwali Lutfi, Khalid Anwer Al-Mugheed, Mohammed Amin Almaiah, Rami J Anshasi, Main Naser Alolayyan, Abdallah Alsaad, Mahmaod Alrawad

“…This study investigates the key determinants of DCT adoption and acceptance by integrating the Technology Acceptance Model (TAM) with psychological, social, and regulatory factors related to the context of the study. Methods Using a quantitative, cross-sectional design, data were collected from Saudi participants through an online survey and analysed using Structural Equation Modeling (SEM) with SmartPLS4. …”
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Strong Association of Perceived Chronic Stress with Leadership Quality, Work–Privacy Conflict and Quantitative Work Demands: Results of the IMPROVE<i>job</i> Study by Julian Göbel, Lukas Degen, Karen Minder, Monika A. Rieger, Birgitta M. Weltermann

“…The factors associated with lower perceived chronic stress were identified using a multilevel regression model approach. The model showed a significant association with less work–privacy conflict (<i>p</i> < 0.001, <i>β</i> = 0.31), lower quantitative work demands (<i>p</i> < 0.001, <i>β</i> = 0.28), and good leadership quality (<i>p</i> < 0.001, <i>β</i> = −0.22). …”
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Big data, big responsibilities by Primavera De Filippi

“…With the advent of cloud computing, specialised data centres with powerful computational hardware and software resources can be used for processing and analysing a humongous amount of aggregated data coming from a variety of different sources. …”
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A data flow process for confidential data and its application in a health research project. by Samantha S R Crossfield, Kieran Zucker, Paul Baxter, Penny Wright, Jon Fistein, Alex F Markham, Mark Birkin, Adam W Glaser, Geoff Hall

“…However, using healthcare data for secondary purposes raises legal and ethical concerns relating to confidentiality, privacy and data protection rights. …”
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Rich Data Versus Quantity of Data in Code Generation AI: A Paradigm Shift for Healthcare by Muthu Ramachandran, Steven Fouracre

“…Using Self-Evolving Software (SES) as a case study, the research contrasts outcomes from both paradigms and proposes a weighted matrix for data selection in Code Gen AI systems. …”
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Can synthetic data be a proxy for real clinical trial data? A validation study by Monica Parry, Karolina Kublickiene, Valeria Raparelli, Peter Klimek, Alexandra Kautzky-Willer, Louise Pilote, Michal Abrahamowicz, Colleen M. Norris, Maria Trinidad Herrero, Khaled El Emam, Ruth Sapir-Pichhadze, Simon Bacon, Jennifer Fishman, Zahra Azizi, Chaoyi Zheng, Lucy Mosquera, Karin Humphries, Khaled El Emam

“…However, data availability remains a challenge due to complex privacy requirements. …”
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A Signature-Based Data Security Technique for Energy-Efficient Data Aggregation in Wireless Sensor Networks by Min Yoon, Miyoung Jang, Hyeong-Il Kim, Jae-Woo Chang

“…To support privacy-preserving data aggregation and integrity checking, our technique makes use of the additive property of complex numbers. …”
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THE USE OF SOCIAL MEDIA FOR LEARNING ENGLISH: STUDENTS PERSPECTIVE by Muetia Safitri, Atik Yuliyani, Farida Hamid, Aminah Suriaman

“…Basic statistical analysis was used to analyze data from the questionnaire, and the data from interviews were analyzed using the flow model by Miles and Huberman. …”
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Chatbots in medicine: certification process and applied use case by Mayssam Nehme, Franck Schneider, Esther Amruthalingam, Elio Schnarrenberger, Raphaël Trëmeaud, Idris Guessous

“…However, their application in medicine and healthcare has been limited due to concerns over data privacy, ther risk of providing medical diagnoses, and ensuring regulatory and legal compliance. …”
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Patient Perspective on Use of an Interactive Website for Sleep Apnea by Carl Stepnowsky, Christine Edwards, Tania Zamora, Robert Barker, Zia Agha

“…The goal of this paper is to report on CPAP adherence, internet use, privacy concerns and user satisfaction in using the website. …”
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Investigating Sensitive Issues in Class Through Randomized Response Polling by Christian Genest, James A. Hanley, Sahir R. Bhatnagar

“…This article provides an introduction to randomized response polling, a technique which was designed to allow for questioning on sensitive issues while protecting the respondent’s privacy and avoiding social desirability bias. It is described in terms that are suitable for presentation and use in any classroom environment. …”
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