Future Internet | Selected Editor’s Choice Articles Published in the Fourth Quarter of 2024

1. “Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques”
by Hesham Kamal and Maggie Mashaly
Future Internet 2024, 16(12), 481; https://doi.org/10.3390/fi16120481
Available online: https://www.mdpi.com/1999-5903/16/12/481

2. “A Survey of the Real-Time Metaverse: Challenges and Opportunities”
by Mohsen Hatami, Qian Qu, Yu Chen, Hisham Kholidy, Erik Blasch and Erika Ardiles-Cruz
Future Internet 2024, 16(10), 379; https://doi.org/10.3390/fi16100379
Available online: https://www.mdpi.com/1999-5903/16/10/379

3. “Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review”
by Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna and Roberto De Fazio
Future Internet 2024, 16(11), 394; https://doi.org/10.3390/fi16110394
Available online: https://www.mdpi.com/1999-5903/16/11/394

4. “Advanced Optimization Techniques for Federated Learning on Non-IID Data”
by Filippos Efthymiadis, Aristeidis Karras, Christos Karras and Spyros Sioutas
Future Internet 2024, 16(10), 370; https://doi.org/10.3390/fi16100370
Available online: https://www.mdpi.com/1999-5903/16/10/370

5. “Flexible Hyper-Distributed IoT–Edge–Cloud Platform for Real-Time Digital Twin Applications on 6G-Intended Testbeds for Logistics and Industry”
by Maria Crespo-Aguado, Raul Lozano, Fernando Hernandez-Gobertti, Nuria Molner and David Gomez-Barquero
Future Internet 2024, 16(11), 431; https://doi.org/10.3390/fi16110431
Available online: https://www.mdpi.com/1999-5903/16/11/431

6. “Large Language Models Meet Next-Generation Networking Technologies: A Review”
by Ching-Nam Hang, Pei-Duo Yu, Roberto Morabito and Chee-Wei Tan
Future Internet 2024, 16(10), 365; https://doi.org/10.3390/fi16100365
Available online: https://www.mdpi.com/1999-5903/16/10/365

7. “A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy”
by Habib Ullah Manzoor, Attia Shabbir, Ao Chen, David Flynn and Ahmed Zoha
Future Internet 2024, 16(10), 374; https://doi.org/10.3390/fi16100374
Available online: https://www.mdpi.com/1999-5903/16/10/374

8. “Recent Advancements in Federated Learning: State of the Art, Fundamentals, Principles, IoT Applications and Future Trends”
by Christos Papadopoulos, Konstantinos-Filippos Kollias and George F. Fragulis
Future Internet 2024, 16(11), 415; https://doi.org/10.3390/fi16110415
Available online: https://www.mdpi.com/1999-5903/16/11/415

9. “Health IoT Threats: Survey of Risks and Vulnerabilities”
by Samaneh Madanian, Tserendorj Chinbat, Maduka Subasinghage, David Airehrour, Farkhondeh Hassandoust and Sira Yongchareon
Future Internet 2024, 16(11), 389; https://doi.org/10.3390/fi16110389
Available online: https://www.mdpi.com/1999-5903/16/11/389

10. “Enhancing Heart Disease Prediction with Federated Learning and Blockchain Integration”
by Yazan Otoum, Chaosheng Hu, Eyad Haj Said and Amiya Nayak
Future Internet 2024, 16(10), 372; https://doi.org/10.3390/fi16100372
Available online: https://www.mdpi.com/1999-5903/16/10/372