As digital ecosystems expand across industries, so does the threat surface they expose. For Dr. Karthik Kambhampati, a ...

Explore post-quantum cryptography in federated learning for Model Context Protocol training. Learn about quantum vulnerabilities, security measures, and real-world applications.

Explore privacy-preserving biometric verification techniques using handwritten inputs. Learn about securing sensitive data with homomorphic encryption and zero-knowledge proofs for authentication.

Background The growing population of patients with adult congenital heart disease (ACHD) present complex lifelong care needs ...

Please note - this role will require you to be based in the UK with the unrestricted right to work in the UK. This organisation is not able to offer sponsorship. An experienced Platform Engineer is ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse ...

Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...

However, there is a scarcity of clear and comprehensive evidence that compares the performance of federated learning (FL) with that of the established centralized machine learning (CML) in the ...

Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Purpose: This study aimed to explore the effect of the order of two learning methods (one based on implicit and another on explicit learning) on students' enjoyment and ability to acquire motor skills ...