The Internet of Things (IoT) is an innovative scheme providing massive applications that have become part of our daily lives. The number of IoT and connected devices are growing …
Federated learning (FL) is a machine learning setting where many clients (eg, mobile devices or whole organizations) collaboratively train a model under the orchestration of a …
Deep Learning has recently become hugely popular in machine learning for its ability to solve end-to-end learning systems, in which the features and the classifiers are learned …
Modern smart homes are being equipped with certain renewable energy resources that can produce their own electric energy. From time to time, these smart homes or microgrids are …
Membership inference attacks seek to infer membership of individual training instances of a model to which an adversary has black-box access through a machine learning-as-a-service …
A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell …
N Johnson, JP Near, D Song - Proceedings of the VLDB Endowment, 2018 - dl.acm.org
Differential privacy promises to enable general data analytics while protecting individual privacy, but existing differential privacy mechanisms do not support the wide variety of …
Differential Privacy: A Primer for a Non-Technical Audience Page 1 Differential Privacy: A Primer for a Non-Technical Audience Alexandra Wood, Micah Altman, Aaron Bembenek, Mark …
" Un análisis esclarecedor sobre uno de los grandes temas de nuestro tiempo, y sobre el inmenso impacto que tendrá en la economía, la ciencia y la sociedad en general.¿ Qué …