Fairness and accuracy in horizontal federated learning
In the horizontal federated learning setting, multiple clients jointly train a model under the
coordination of the central server, while the training data is kept on the client to ensure …
coordination of the central server, while the training data is kept on the client to ensure …
Comparative sensitivity of social media data and their acceptable use in research
Social media data offer a rich resource for researchers interested in public health, labor
economics, politics, social behaviors, and other topics. However, scale and anonymity mean …
economics, politics, social behaviors, and other topics. However, scale and anonymity mean …
Fairness and accuracy in federated learning
In the federated learning setting, multiple clients jointly train a model under the coordination
of the central server, while the training data is kept on the client to ensure privacy. Normally …
of the central server, while the training data is kept on the client to ensure privacy. Normally …
[HTML][HTML] Social media listening to understand the lived experience of presbyopia: systematic search and content analysis study
JS Wolffsohn, C Leteneux-Pantais… - Journal of Medical …, 2020 - jmir.org
Background Presbyopia is defined as the age-related deterioration of near vision over time
which is experienced in over 80% of people aged 40 years or older. Individuals with …
which is experienced in over 80% of people aged 40 years or older. Individuals with …
CHIEF: Clustering with higher-order motifs in big networks
Clustering network vertices is an enabler of various applications such as social computing
and Internet of Things. However, challenges arise for clustering when networks increase in …
and Internet of Things. However, challenges arise for clustering when networks increase in …
Big data, computational social science, and other recent innovations in social network analysis
While sociologists have studied social networks for about one hundred years, recent
developments in data, technology, and methods of analysis provide opportunities for social …
developments in data, technology, and methods of analysis provide opportunities for social …
Invisible data: A framework for understanding visibility processes in social media data
Social media data are increasingly used to study a variety of social phenomena. This
development is based on the assumption that digital traces left on social media can provide …
development is based on the assumption that digital traces left on social media can provide …
GDPR compliant consent driven data protection in online social networks: A blockchain-based approach
J Ahmed, S Yildirim, M Nowostaki… - … on Information and …, 2020 - ieeexplore.ieee.org
The enforcement of the General Data Protection Regulation (GDPR) represents a great
challenge for online social networks (OSNs). Several OSNs are making significant changes …
challenge for online social networks (OSNs). Several OSNs are making significant changes …
Achieving Competitive Sustainable Advantages (CSAs) by Applying a Heuristic-Collaborative Risk Model
Increasing disruption and turmoil continuously challenges organizations regarding the
achievement of short-and long-term objectives. Such a hostile environment results from both …
achievement of short-and long-term objectives. Such a hostile environment results from both …
Moral bureaucracies and social network research
JL Molina, SP Borgatti - Social Networks, 2021 - Elsevier
In the wake of Europe's General Data Protection Regulation (GDPR), research ethics
governance does not just affect the ethical dimensions of social research but also the range …
governance does not just affect the ethical dimensions of social research but also the range …