| 2025 | Mitigating Shared Storage Congestion Using Control Theory. | Thomas Collignon, Kouds Halitim, Raphal Bleuse, Sophie Cerf, Bogdan Robu, ric Rutten, Lionel Seinturier, Alexandre van Kempen |
| 2025 | Countering Device Fingerprinting with Cloud Autoscaling. | Daniel Chisner, Anu Basil, Montana Braxton, Joel Coffman |
| 2025 | Life-cycle carbon assessment of intermittent Fog services fully powered by renewable energy sources. | Matteo Chancerel, Anne-Ccile Orgerie |
| 2025 | FedSynthesis: A Flower-based Framework for Carbon-Reduced Federated Learning. | Gkcan Cantali, Grkan Gr, Burkhard Stiller |
| 2025 | FL-as-API: A Service-Oriented Architecture for Heterogeneous Federated Learning. | Rmulo Bustincio, Pedro Yuri Marquez Solis, Allan Mariano de Souza, Luiz F. Bittencourt |
| 2025 | A model for Distributed Machine Learning. | Aymene Boucha, Carlos Gonzalez, Kandaraj Piamrat, Mario Sdholt |
| 2025 | How data impacts coupled GPUs temperature prediction : a preliminary study based on synthetic data. | Julien Beurrier, Christophe Josset, Yann Favennec, Benot Parrein |
| 2025 | DRAF: A Drift-Resilient Averaging in Federated Learning across the Cloud Edge Continuum. | Juan Aznar-Poveda, Zahra Najafabadi Samani, Marco Cotrotzo, Jona Florian Mller, Philipp Gschwandtner, Thomas Fahringer |
| 2025 | FedGuard: Leader-Aware Fault-Tolerant Federated Learning in the Cloud-Edge Continuum. | Juan Aznar-Poveda, Stefan Pedratscher, Peter Burger, Abolfazl Younesi, Marlon Etheredge, Zahra Najafabadi Samani, Peter Thoman, Thomas Fahringer |
| 2025 | InferEdge: Characterizing Edge Inference Performance. | Gabriel Orion Kai Antar, Blesson Varghese |
| 2025 | HybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification. | Mostafa Anoosha, Zeinab Dehghani, Kuniko Paxton, Koorosh Aslansefat, Dhavalkumar Thakker |
| 2025 | A Hybrid Monitoring Framework for Anomaly Detection in Smart Home IoT Devices. | Shubh Anand, Likhitha Kandregula, Tomasz Szydlo, Rajiv Ranjan, Devki Nandan Jha |
| 2025 | Performance Evaluation of Multi-CNIs in Fog Computing Across Ethernet and Wireless Networks. | Gilvani Alves, Hana Karina Salles Rubinsztejn, Marco Aurelio Stefanes |
| 2025 | Task Scheduling in Edge Computing Environments: a Hierarchical Cluster-based Federated Deep Reinforcement Learning Approach. | Latifah Alsalem, Karim Djemame |
| 2025 | Protocol-to-Model Translation Framework: Enabling Mathematically Tractable TCP Models for Autonomic Controller Design. | Ahmed Ben Ali, Yann Labit, Bnot Nougnanke, Jean-Franois Baffier |
| 2025 | Benchmarking Small Language Models in the Renewable Energy Domain. | Charles Alba |
| 2025 | Secure-by-Design Hardware Architecture for Real-Time IoT with Cycle-Bounded Trust and Redundancy-Aware Sensor Fusion. | Maitham Al-rubaye, Atakan Aral |
| 2024 | Improving IDS Performance with XGBoost Hyperparameter Optimization and Real-Time Analysis. | Anthony Zatika, Joel Coffman |
| 2024 | An Efficient Resource Allocation Model in IIoT Using Federated Reinforcement Learning. | Mahdi Safaei Yaraziz, Richard Hill |
| 2024 | A Unified Approach to Virtual Machine Placement and Migration in the Cloud using Deep Reinforcement Learning. | Zihao Yang, Muhammed Tawfiqul Islam, Aaron Harwood |
| 2024 | Exploring Enhanced Dominant Resource Fairness Using Linear Programming Calculated Weights. | Bo Yan, Angel Beltre, Pankaj Saha, Madhusudhan Govindaraju |
| 2024 | Serverless Snapshot-Resume Performance in the Real-World. | Weikang Weng, Yuxuan Zhao, Rob van Nieuwpoort, Alexandru Uta |
| 2024 | TRANSITIVE: opTimising netwoRk trAnsfer aNd planS In mulTI-cloud enVironmEnts. | Afiq Wafi, Abdessalam Elhabbash, Yehia Elkhatib |
| 2024 | Semantic SLAs for Describing and Sustaining QoS in the Cloud-Edge Continuum. | Simeon Veloudis, Evangelos Barmpas, Iraklis Paraskakis |
| 2024 | SafeGuardHer: Blockchain and Ensemble Learning based CPS Framework for Women's Safety Using Wearable Devices. | Akshat Vaja, Aarchi Dholakia, Man Patel, Keyaba Gohil, Rajesh Gupta, Sudeep Tanwar, N. Z. Jhanjhi |