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ORCID7th EDGE 2023: Chicago, IL, USA
- Claudio A. Ardagna, Feras M. Awaysheh, Hongyi Bian, Carl K. Chang, Rong N. Chang, Flávia Coimbra Delicato, Nirmit Desai, Jing Fan, Geoffrey C. Fox, Andrzej Goscinski, Zhi Jin, Anna Kobusinska, Omer F. Rana:
IEEE International Conference on Edge Computing and Communications, EDGE 2023, Chicago, IL, USA, July 2-8, 2023. IEEE 2023, ISBN 979-8-3503-0483-1 - Osamah I. Alqaisi
, Ali Saman Tosun, Turgay Korkmaz:
Containerized Computer Vision Applications on Edge Devices. 1-11 - Paul Townend, Alberto P. Martí, Idoia De-la-Iglesia, Nikolaos Matskanis, Thomas Ohlson Timoudas, Torsten Hallmann, Antonio Lalaguna, Kaja Swat, Francesco Renzi, Dominik Bochenski, Marco Mancini, Monowar H. Bhuyan, Marco González-Hierro, Sébastien Dupont, Johan Kristiansson, Rubén S. Montero, Erik Elmroth, Ivá Valdés, Philippe Massonet, Daniel Olsson, Ignacio Martín Llorente, Per-Olov Östberg, Michael Abdou:
COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge Continuum. 12-22 - Runyu Jin, Qirui Yang, Ming Zhao:
When Edge Meets FaaS: Opportunities and Challenges. 23-25 - Achintya Kundu, Laura Wynter, Rhui Dih Lee, Luis Angel D. Bathen:
Transfer-Once-For-All: AI Model Optimization for Edge. 26-35 - Dheeraj Ramchandani, Bahar Asgari, Hyesoon Kim:
Spica: Exploring FPGA Optimizations to Enable an Efficient SpMV Implementation for Computations at Edge. 36-42 - Burkhard Ringlein, François Abel, Dionysios Diamantopoulos, Beat Weiss, Christoph Hagleitner, Dietmar Fey:
DOSA: Organic Compilation for Neural Network Inference on Distributed FPGAs. 43-50 - Yixuan Wang, Abhishek Chandra, Jon B. Weissman:
SQuBA: Social Quorum Based Access Control for Open IoT Environments. 51-62 - Maryam Pourreza, Priya Narasimhan:
A Survey of Faults and Fault-Injection Techniques in Edge Computing Systems. 63-71 - Giorgia Sirigu, Barbara Carminati, Elena Ferrari:
ConPrEF: A Context-based Privacy Enforcement Framework for Edge Computing. 72-78 - Abhijit Kumar, Tauseef Ahmed, Konica Saini, Jay Kumar:
NEOS: Non-intrusive Edge Observability stack based on Zero Trust security model for Ubiquitous Computing. 79-84 - Omar Naman, Hala Qadi, Martin Karsten, Samer Al-Kiswany:
MECBench: A Framework for Benchmarking Multi-Access Edge Computing Platforms. 85-95 - Tse-Yu Chen, Yao Chiang, Jian-Han Wu, Huan-Ting Chen, Chiao-Cheng Chen, Hung-Yu Wei:
IEEE P1935 Edge/Fog Manageability and Orchestration: Standard and Usage Example. 96-103 - Sihai Tang, Shengze Wang, Song Fu, Qing Yang:
Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles. 104-114 - Johan Løhde Thomsen, Kristian Dragsbæk Schmidt Thomsen, Rasmus B. Schmidt, Søren D. Jakobsgaard, Thor Beregaard, Michele Albano, Sergio Moreschini, Davide Taibi:
Edge Computing Tasks Orchestration: An Energy-Aware Approach. 115-117 - Haoran Shi, Shijun Liu, Li Pan:
Domain modeling for scenario sensing and edge decision-making. 118-125 - Ramyad Hadidi, Jiashen Cao, Bahar Asgari, Hyesoon Kim:
Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT. 126-132 - Pierre-Louis Sixdenier, Stefan Wildermann, Martin Ottens, Jürgen Teich:
Seque: Lean and Energy-aware Data Management for IoT Gateways. 133-139 - Qing Charles Cao, Yunhe Feng:
Probabilistic Error Reasoning on IoT Edge Devices. 140-149 - Ronit Das, Tie Luo:
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing. 150-158 - Joffrey de Oliveira, Christophe Callé, Philippe Calvez, Olivier Curé:
Towards Autonomous Anomaly Management Using Semantic Technologies at the Edge. 159-165 - Neda Shalavi, Aria Khoshsirat, Marco Stellini, Andrea Zanella, Michele Rossi:
Accurate Calibration of Power Measurements from Internal Power Sensors on NVIDIA Jetson Devices. 166-170 - Keita Hagiwara, Yanzhi Li, Midori Sugaya:
Weighted Load Balancing Method for Heterogeneous Clusters on Hybrid Clouds. 171-176 - Alexander Droob, Daniel Morratz, Frederik Langkilde Jakobsen, Jacob Carstensen, Magnus Mathiesen, Rune Bohnstedt, Michele Albano, Sergio Moreschini, Davide Taibi:
Fault Tolerant Horizontal Computation Offloading. 177-182 - Roger Iyengar, Qifei Dong, Chanh Nguyen, Padmanabhan Pillai, Mahadev Satyanarayanan:
Offload Shaping for Wearable Cognitive Assistance. 183-189 - Eduardo S. Gama, Natesha B. V, Roger Immich, Luiz F. Bittencourt:
An Orchestrator Architecture for Multi-tier Edge/Cloud Video Streaming Services. 190-196 - Priyal Thakkar, Ashish Singh Patel, Gaurav Shukla, Arzad Alam Kherani, Brejesh Lall:
Performance Analysis of Real-Time Video Surveillance Application Leveraging Edge and Cloud. 197-203 - Jayden King, Young Choon Lee:
eDashA: Edge-based Dash Cam Video Analytics. 204-206 - Zuo Huang, Richard O. Sinnott:
Improved Knowledge Distillation for Crowd Counting on IoT Devices. 207-214 - Paul Agbaje, Afia Anjum, Zahidur Talukder, Mohammad A. Islam, Ebelechukwu Nwafor, Habeeb Olufowobi:
FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing. 215-220 - Michele Boldo, Damiano Carra, Davide Quaglia, Nicola Bombieri:
A Dynamic and Collaborative Deep Inference Framework for Human Motion Analysis in Telemedicine. 221-226 - Joy Dutta, Deepak Puthal:
Human-Centered Explainable AI at the Edge for eHealth. 227-232 - Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui:
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. 233-244 - Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. 245-254 - Ramyad Hadidi, Nima Shoghi Ghaleshahi, Bahar Asgari, Hyesoon Kim:
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization. 255-261 - Chao Wang, Yiran Zhang, Qing Li, Ao Zhou, Shangguang Wang:
Satellite Computing: A Case Study of Cloud-Native Satellites. 262-270 - Edon Govori, Ilir Murturi, Schahram Dustdar:
A Comprehensive Performance Evaluation of Procedural Geometry Workloads on Resource-Constrained Devices. 271-279 - Zeyuan Wang, Xinglin Zhang, Lei Yang:
EIS: Edge Information-Aware Scheduler for Containerized IoT Applications. 280-289 - Gloire Rubambiza, Braulio Dumba, Andrew J. Anderson, Hakim Weatherspoon:
EdgeRDV: A Framework for Edge Workload Management at Scale. 290-300 - Shashikant Ilager, Vincenzo De Maio, Ivan Lujic, Ivona Brandic:
Data-centric Edge-AI: A Symbolic Representation Use Case. 301-308 - Robert Pell, Mohammad Shojafar, Dimitrios Kosmanos, Sotiris Moschoyiannis:
Service Classification of Network Traffic in 5G Core Networks using Machine Learning. 309-318 - Feras M. Awaysheh, Riccardo Tommasini, Ahmed Awad:
Big Data Analytics from the Rich Cloud to the Frugal Edge. 319-329 - Ilche Georgievski, Marco Aiello:
The Potentials of AI Planning on the Edge. 330-336 - Michael Gibbs, Eiman Kanjo:
Realising the Power of Edge Intelligence: Addressing the Challenges in AI and tinyML Applications for Edge Computing. 337-343 - József Sándor, Roland Nagy, Levente Buttyán:
PATRIoTA: A Similarity-based IoT Malware Detection Method Robust Against Adversarial Samples. 344-353 - Cesare Pautasso:
A Brief History of Liquid Software. 354-363 - Mikolaj Lysakowski, Kamil Zywanowski, Adam Banaszczyk, Michal R. Nowicki, Piotr Skrzypczynski, Slawomir Konrad Tadeja:
Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8. 364-371 - Praveen Kumar Donta, Schahram Dustdar:
Towards Intelligent Data Protocols for the Edge. 372-380 - Tarik Zakaria Benmerar, Theodoros Theodoropoulos, Diogo Fevereiro, Luís Rosa, João Rodrigues, Tarik Taleb, Paolo Barone, Konstantinos Tserpes, Luís Cordeiro:
Intelligent Multi-Domain Edge Orchestration for Highly Distributed Immersive Services: An Immersive Virtual Touring Use Case. 381-392 - Mohammed Al-Khafajiy, Ghaith Al-Tameemi, Thar Baker:
DDoS-FOCUS: A Distributed DoS Attacks Mitigation using Deep Learning Approach for a Secure IoT Network. 393-399 - Elena Becker, Maanak Gupta, Kshitiz Aryal:
Using Machine Learning for Detection and Classification of Cyber Attacks in Edge IoT. 400-410
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last updated on 2025-01-10 18:20 CET by the dblp team
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