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ORCID10th FMEC 2025: Tampa, FL, USA
- 10th International Conference on Fog and Mobile Edge Computing, FMEC 2025, Tampa, FL, USA, May 19-22, 2025. IEEE 2025, ISBN 979-8-3315-4424-9
- Bipul Bikram Thapa
, Jianbo Zhang, Lena Mashayekhy:
Fault-Tolerant Offloading of Federated Learning Training Tasks in IoT-Edge Systems. 1-8 - Muhammad Hassan, Noshina Tariq, Farrukh Aslam Khan, Jalal Al-Muhtadi:
Fog-Based Transformer Learning for Multi-Class Classification of RPL-Based Attacks. 9-15 - Tasnia Ashrafi Heya, Sayed Erfan Arefin:
A Deep Reinforcement Learning Approach for Joint Task Offloading, Caching, and User Association in Mobile Edge Computing. 16-23 - Victor R. Kebande:
Distributed Adaptive Push-Button Forensics. 24-25 - Fahed Alkhabbas, Sadi Alawadi, Hussam N. Fakhouri, Feras M. Awaysheh, Majed Ayyad, Muhammad Al-Abdullah:
Towards a Sustainable Workflow Scheduling Framework in Edge-Cloud Infrastructures. 26-32 - Md Rakibul Ahasan, Shahriar Rahman Fahim, Abdulrahman Takiddin:
Securing EVCS Infrastructure Against Cyberattacks with a Deep Learning-Based Detection Model. 33-38 - Anthony DiBenedetto, Fadi Wedyan:
An Empirical Evaluation of Energy Consumption Across Web Browsers. 39-48 - Shubham Kamdi, Ao Liu:
A Study on Developing an Image Upload/Download System Using Cloud Services and Integration with an iOS Mobile Application. 49-57 - Victor Morales Avalos, Cihan Tunc:
Trust Evaluation Based on a Risk Assessment and Game Theory for Virtual Machines in a Cloud Environment. 58-65 - Volodymyr Tkach, Victor R. Kebande:
Towards Emergent Collective Cognitive Cyber Defense: Architectural Framework for Proactive Cybersecurity. 66-73 - Ye Xia, Xing Zhang:
Enhancing IoT Applications' Placement in the Fog with Proactive Infeasibility Detection and Repair. 74-80 - Farhoud Jafari Kaleibar, Marc St-Hilaire, Masoud Barati:
A Tailored Genetic Algorithm Approach for SLA-Based Service Provisioning in Vehicular Cloud Networks. 81-88 - Marko Harasic, Roman Laas, Dennis Lehmann, Adrian Paschke:
Towards a Robust Federated Learning Architecture with Modular Aggregation Strategies. 89-96 - Guilin Zhang, Wulan Guo, Ziqi Tan, Hailong Jiang:
AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments. 97-104 - Mohammad Newaj Jamil, Olov Schelén, Ahmed Afif Monrat, Karl Andersson:
Edge Data Analytics in Remote Industrial Environments: An Experimental Study. 105-112 - Tarik Eltaeib, Mostafa Al Ghamdi:
Crown Shyness Optimization Algorithm (CSOA). 113-119 - Yunus Esergun, Ozcan Ozturk:
Custom Transformer Implementation for Edge. 120-124 - Md. Anwar Hossen, Fatema Siddika, Wensheng Zhang:
Fair Allocation of Bandwidth at Edge Servers for Concurrent Federated Learning Processes. 125-132 - Nisal Hemadasa, Dominik Kaaser, Stefan Schulte:
Hierarchical Bidirectional Aggregation for Federated Learning Under Concept Drift. 133-140 - Junior Dongo, Charif Mahmoudi:
Optimizing IoT Edge Processes Using Low-Code Platforms. 141-148 - Victor R. Kebande:
Conceptual Metaverse Forensics Model: Proactive Link Between Augmented Reality and Security Incidents. 149-157 - Syed Muhammad Hassaan Ali, Danyal Farhat, Muhammad Adnan:
Advancing Mobile Cloud Computing: Emphasizing Security, AI Integration. 158-162 - Mustafa Daraghmeh, Yaser Jararweh, Anjali Agarwal, Kuljeet Kaur:
Machine Learning-Based IoT Cyber Threat Prediction Using Network Traffic Analysis. 163-170 - Maryam Alsubaie, Noor Bajunaid, Hanan Alotaibi, Asma Cherif:
An Overview of Hyper-Heuristic Approaches for Fog-Cloud Resource Allocation: Current State and Future Directions. 171-177 - Brajendra Panda, Anthony Pham:
A Secure Transaction Execution Model for Maintaining the Integrity of Fog-Based Databases. 178-185 - Lopamudra Praharaj, Maanak Gupta, Deepti Gupta:
Explainability-Aware Adversarial Threats and Mitigation in Federated Learning Based Anomaly Detection for Cooperative Smart Farming. 186-193 - Francesco Binucci, Osvaldo Simeone, Paolo Banelli:
Resource Management for Multiuser Opportunistic Edge-Inference by Conformal Lyapunov Optimization. 194-201 - Brooke Kidmose, Andreas Brasen Kidmose, Weizhi Meng:
Security and Privacy in FMEC-Enabled Intelligent Transportation Systems: A Survey. 202-209 - Sai Ananya Katakam, Abhishek Hazra, Mohan Gurusamy:
Optimizing Remaining Useful Life Prediction in the Industrial Metaverse with TinyFL. 210-215 - Muhammad Hamza Karim, Aditya Sapkota, Changcun Lei, Prakash Ranganathan:
Enhancing Edge Infrastructure Security Through FL-Driven LSTM/BiLSTM Anomaly Detection. 216-224 - Adam Aberbach, Mohamed Baza, Mahmoud M. Badr, Amar Rasheed, Sherif Abdelfattah, Gautam Srivastava:
Efficient and Adversarially Robust Electricity Theft Detection Approach. 225-229 - Chengyu Tang, Sanjeev Baskiyar:
Traffic Signal Control Using Fog Computing and Self-Attention-Based Reinforcement Learning. 230-237 - Veera Manikantha Rayudu Tummala, Abhishek Hazra, Mohan Gurusamy:
FLAME: Federated Learning with Adaptive Model Expansion for Heterogeneous Devices in Metaverse. 238-243 - Luc Hogie:
How Digital Twins Can Improve the Design of Distributed Computing Frameworks. 244-247 - Rich Wolski, Chandra Krintz, Markus Mock:
Leveraging Dataflow as an Intermediate Representation for Portable Edge Deployments. 248-255 - Amar Rasheed, Mohamed Baza, Gautam Srivastava, Sherif Abdelfattah:
Harnessing IoT for Real-Time Anomaly Detection in sUAS Security. 256-259 - Aril Bernhard Ovesen, Mohsin Khan, Håvard D. Johansen, Dag Johansen:
System Support for Accountable and Trusted Data Collection and Fog Processing in Remote Electronic Monitoring. 260-267 - Dina Omar Salem, Yazan Alahmed, Ragad Fnich, Meryem Mazroub, Mohammad Fnich:
AI-Driven Continuous Integration: Automating Code Review and Deployment with LLMs. 268-274 - Chaima Lhasnaoui, Oscar Bergling, Addi Ait-Mlouk, Tarik Agouti:
Adaptive Aggregation for Robust Federated Learning Against Label Flipping and Backdoor Attacks. 275-281 - Joachim de Curtò, Irene de Zarzà:
LLM-Powered Cooperative Perception Framework for Mixed UAV-Vehicle Platoons. 282-289 - Yongzhi Wang, Ahsan Habib:
Protect Data Confidentiality for on-Device Machine Learning Through Split Inference. 290-297 - Michael J. Hirsch, Héctor J. Ortiz-Peña, Moises Sudit:
To the Edge of the Fog: Location of Smart Fusion Nodes for Optimal Use of Communication Networks. 298-304
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