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Edge computing security: State of the art and challenges
The rapid developments of the Internet of Things (IoT) and smart mobile devices in recent
years have been dramatically incentivizing the advancement of edge computing. On the one …
years have been dramatically incentivizing the advancement of edge computing. On the one …
[HTML][HTML] A survey of security architectures for edge computing-based IoT
E Fazeldehkordi, TM Grønli - IoT, 2022 - mdpi.com
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 …
have become part of our daily lives. The number of IoT and connected devices are growing …
Advances and open problems in federated learning
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 …
devices or whole organizations) collaboratively train a model under the orchestration of a …
Deep models under the GAN: information leakage from collaborative deep learning
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 …
solve end-to-end learning systems, in which the features and the classifiers are learned …
DEAL: Differentially private auction for blockchain-based microgrids energy trading
MU Hassan, MH Rehmani… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …
produce their own electric energy. From time to time, these smart homes or microgrids are …
Demystifying membership inference attacks in machine learning as a service
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 …
model to which an adversary has black-box access through a machine learning-as-a-service …
[KNIHA][B] Big data: A revolution that will transform how we live, work, and think
V Mayer-Schönberger, K Cukier - 2013 - books.google.com
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 …
have on the economy, science, and society at large. Which paint color is most likely to tell …
Towards practical differential privacy for SQL queries
Differential privacy promises to enable general data analytics while protecting individual
privacy, but existing differential privacy mechanisms do not support the wide variety of …
privacy, but existing differential privacy mechanisms do not support the wide variety of …
Differential privacy: A primer for a non-technical audience
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 …
Primer for a Non-Technical Audience Alexandra Wood, Micah Altman, Aaron Bembenek, Mark …
[KNIHA][B] Big data: la revolución de los datos masivos
V Mayer-Schönberger, K Cukier - 2013 - books.google.com
" 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 …
inmenso impacto que tendrá en la economía, la ciencia y la sociedad en general.¿ Qué …