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Budgeted online selection of candidate iot clients to participate in federated learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ...
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ...
Privacy-preserving artificial intelligence in healthcare: Techniques and applications
(
Elsevier
, 2023 , Article Review)
There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial ...
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
(
Elsevier
, 2023 , Article)
The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of human beings from scheduling daily activities to personalized shopping recommendations. Since the success of AI is to be ...
Smart Cities from the Perspective of Systems
(
MDPI
, 2022 , Article)
Modern cities are complex adaptive systems in which there is a lot of dependency and interaction between the various stakeholders, components, and subsystems. The use of digital Information and Communications Technology ...
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
(
Elsevier
, 2022 , Article Review)
With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical applications like healthcare, the questions about liability, trust, and interpretability of their outputs are raising. The ...
Tamp-X: Attacking explainable natural language classifiers through tampered activations
(
Elsevier
, 2022 , Article)
While the technique of Deep Neural Networks (DNNs) has been instrumental in achieving state-of-the-art results for various Natural Language Processing (NLP) tasks, recent works have shown that the decisions made by DNNs ...
Arabic natural language processing for Qur'anic research: a systematic review
(
Springer Nature
, 2023 , Article)
The Qur'an is a fourteen centuries old divine book in Arabic language that is read and followed by almost two billion Muslims globally as their sacred religious text. With the rise of Islam, the Arabic language gained ...