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ORCID9th EDGE 2025: Helsinki, Finland
- Rong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi Atukorala, Dan Chen, Sumi Helal, Sasu Tarkoma, Qiang He, Tevfik Kosar, Claudio A. Ardagna, Feras M. Awaysheh, Volker Hilt, Yogesh Simmhan:
2025 IEEE International Conference on Edge Computing and Communications (EDGE), IEEE EDGE 2025, Helsinki, Finland, July 7-12, 2025. IEEE 2025, ISBN 979-8-3315-5560-3 - Rafael A. G. Lima, Douglas D. J. de Macedo, Celina A. G. Lima:
Blockchain-Enabled Distributed Data Management for Smart Health: Enhancing Integrity and Auditability in Edge-Fog-Cloud Ecosystems. 1-12 - Everett Richards, Bipul Thapa, Lena Mashayekhy:
Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception. 13-22 - Kurt Horvath, Dragi Kimovski, Radu Prodan:
SCAREY: Location-Aware Service Lifecycle Management. 23-33 - Yangyang Wang, Alaa Saleh, Praveen Kumar Donta, Naser Hossein Motlagh, Lauri Lovén, Sasu Tarkoma, Schahram Dustdar:
iKafka: Intelligent Storage Management for Adaptive Event Streaming in Kafka. 34-43 - Thomas W. Pusztai, Jan Hisberger, Cynthia Marcelino, Stefan Nastic:
Stardust: A Scalable and Extensible Simulator for the 3D Continuum. 44-53 - Oluwafeyisayo Oyeniyi, Ayan Roy, Amartya Sen:
Integrity Verification Framework for User-Subscribed AI Models on the Edge Platform. 54-63 - Omkar B. Shende, Gayathri Ananthanarayanan:
ScanTAP: Balancing Throughput, Accuracy and Power consumption for Concurrent DNN Execution on Heterogeneous Multi-Accelerator Edge Platforms. 64-74 - Saeed Khalilian, Ehsan Aghapour, Nirvana Meratnia, Andy D. Pimentel, Anuj Pathania:
Early-Exit DNN Inference on HMPSoCs. 75-82 - Austin O'Quinn, Conor Snedeker, Siyuan Zhang, Jenna Kline:
Environment-Aware Dynamic Pruning for Pipelined Edge Inference. 83-89 - Rui Zhang, Liting Hu:
Enabling Fairness Across Multi-modal and Multi-agent Applications. 90-92 - Alfreds Lapkovskis, Boris Sedlak, Sindri Magnússon, Schahram Dustdar, Praveen Kumar Donta:
Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems. 93-102 - Joanna Georgiou, Moysis Symeonides, George Pallis, Marios D. Dikaiakos:
Automating Multi-Tenancy Performance Evaluation on Edge Compute Nodes. 103-114 - Ting Jiang, Jianwei Hao, Sushruth Harsha, Rakandhiya D. Rachmanto, Arief Setyanto, Lakshmish Ramaswamy, In Kee Kim:
Convergo: Multi-SLO-Aware Scheduling for Heterogeneous AI Accelerators on Edge Devices. 115-125 - Zahidur Talukder, Muhammad Rana, Keaton Hamm, Mohammad A. Islam:
Empowering Clients: Self-Adaptive Federated Learning for Data Quality Challenges. 126-136 - Bara'ah Al-Blewi, Bahman Javadi, Rodrigo N. Calheiros:
Energy Efficient Client Selection in Federated Learning for Orbital Edge Computing. 137-146 - Ivan Kralj, Lodovico Giaretta, Gordan Jezic, Ivana Podnar Zarko, Sarunas Girdzijauskas:
Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction. 147-155 - Harsha Varun Marisetty, Manik Gupta, Yogesh Simmhan:
D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data. 156-166 - Sadi Alawadi, Feras Awaysheh, Thambugala Athukoralalage Jayani Sandunka Athukorala, Saket Gande, Fahed Alkhabbas:
A Personalized and Explainable Federated Learning Approach for Recommendation Systems. 167-176 - Francisco A. Pujol, Tamai Ramírez-Gordillo, Higinio Mora, Ana Martínez García:
Public Perception in AI-Driven Sustainable Edge-Cloud Management. 177-182 - Mohammed Mshragi, Ioan Petri, Omer F. Rana:
FPGA-Accelerated Fast Machine Learning for Heterogeneous Edge Systems. 183-191 - Nasser Alkhatani, Ioan Petri, Omer F. Rana, Manish Parashar:
Edge learning for energy-aware resource management. 192-202 - Arman Ferdowsi, Atakan Aral:
Distributed Neuromorphic Edge Computing: Theory and Applications in Environmental Monitoring. 203-212
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