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Secure Federated Evolutionary Optimization—A Survey

Engineering
With the development of edge devices and cloud computing, the question of how to accomplish machine learning and optimization tasks in a privacy-preserving and secure way has attracted increased attention over the past decade.
Qiqi Liu +6 more
doaj +1 more source

SSL-FL: A lightweight authentication framework for secure federated learning

Journal of King Saud University Computer and Information Sciences
Abstract Federated learning (FL) enables distributed model training with data privacy, but requires efficient authentication and communication in resource-constrained environments. This paper presents SSL-FL, a framework that combines semiconductor superlattice physically unclonable functions (SSL-PUFs) and compressed sensing (CS).
Xianwei Gao +4 more
openaire +2 more sources

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 11, Page 4724-4738, 10 August 2026.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens +2 more
wiley +1 more source

Critical thinking in occupational therapy education: A mixed‐methods study

Australian Occupational Therapy Journal, Volume 73, Issue 4, August 2026.
Abstract Introduction Critical thinking is widely recognised as essential for occupational therapy education and practice, yet its conceptualisation, teaching, and assessment remain inconsistent across international contexts. Existing literature highlights a lack of clarity regarding effective pedagogical approaches and a limited understanding of how ...
Laura Irvine‐Brown +4 more
wiley +1 more source

FL-PBM: Pre-Training Backdoor Mitigation for Federated Learning

CoRR
Backdoor attacks pose a significant threat to the integrity and reliability of Artificial Intelligence (AI) models, enabling adversaries to manipulate model behavior by injecting poisoned data with hidden triggers. These attacks can lead to severe consequences, especially in critical applications such as autonomous driving, healthcare, and finance ...
Osama Wehbi +5 more
openaire +2 more sources

The International Guideline for the Definition, Classification, Diagnosis and Management of Urticaria

Allergy, Volume 81, Issue 8, Page 2582-2632, August 2026.
ABSTRACT This update and revision of the international guideline for urticaria was developed in accordance with the methods recommended by Cochrane and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group. It is an initiative of the Global Allergy and Asthma Excellence Network (GA2LEN) and its Urticaria and ...
Torsten Zuberbier +221 more
wiley +1 more source

A Novel Blockchain-Enabled Federated Learning Scheme for IoT Anomaly Detection

IEEE Transactions on Machine Learning in Communications and Networking
In this research, we proposed a novel anomaly detection system (ADS) that integrates federated learning (FL) with blockchain for resource-constrained IoT.
Van-Doan Nguyen +4 more
doaj +1 more source

Adult Sensory Education for Sustainable Eating: The Moderating Roles of Prior Experience

Journal of Sensory Studies, Volume 41, Issue 4, August 2026.
ABSTRACT Although sensory education has traditionally targeted children, its application to adult populations remains underexplored. This study examined how a Sapere‐based adult sensory education program grounded in social cognitive theory (SCT) influences food literacy, taste sensitivity, and healthy eating behavior among university students.
Yulee Shin, Seonyeong Baek, Sunny Ham
wiley +1 more source

Privacy and Security Challenges in Federated Learning for UAV Systems: A Systematic Review

IEEE Access
Unmanned Aerial Vehicles have become indispensable assets across various sectors, leveraging their mobility and data collection capabilities. However, privacy and security concerns have fueled interest in Federated Learning as a potential solution ...
Ahmed Saleh Sulaiman Al Farsi +3 more
doaj +1 more source

Recent advances on federated learning systems and the design for computing power Internet of things

物联网学报
Computing power Internet of things (CPIoT) integrates Internet of things (IoT) devices with substantial computational resources to support data-intensive tasks, facilitating intelligent decision-making.
LU Jianfeng +5 more
doaj +2 more sources

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