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ORCID8th SEC 2023: Wilmington, DE, USA
- IEEE/ACM Symposium on Edge Computing, SEC 2023, Wilmington, DE, USA, December 6-9, 2023. IEEE 2023, ISBN 979-8-4007-0123-8
- Kewei Sha:
Message from the General Chair. xii - Suman Banerjee, Jiasi Chen:
Message from the Program Co-Chairs. xiii - Xiaojie Zhang, Houchao Gan, Amitangshu Pal, Soumyabrata Dey, Saptarshi Debroy:
On Balancing Latency and Quality of Edge-Native Multi-View 3D Reconstruction. 1-13 - Arun Joseph, Nikita Yadav, Vinod Ganapathy, Dushyant Behl:
A Contributory Public-Event Recording and Querying System. 1-14 - Stephan Recker:
Poster: Opportunistic Edge Computing with EVPNs. 1-3 - Qiang Liu, Yongjie Xue, Yuru Zhang, Dawei Chen, Kyungtae Han:
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge. 14-26 - Ali Rahmanian, Ahmed Ali-Eldin, Selome Kostentinos Tesfatsion, Björn Skubic, Harald Gustafsson, Prashant J. Shenoy, Erik Elmroth:
RAVAS: Interference-Aware Model Selection and Resource Allocation for Live Edge Video Analytics. 27-39 - Mihir Bala, Thomas Eiszler, Xiangliang Chen, Jan Harkes, James Blakley, Padmanabhan Pillai, Mahadev Satyanarayanan:
Democratizing Drone Autonomy via Edge Computing. 40-52 - Qianlin Liang, Walid A. Hanafy, Noman Bashir, David E. Irwin, Prashant J. Shenoy:
Energy Time Fairness: Balancing Fair Allocation of Energy and Time for GPU Workloads. 53-66 - Amirhossein Ahmadi, Hazem A. Abdelhafez, Karthik Pattabiraman, Matei Ripeanu:
EdgeEngine: A Thermal-Aware Optimization Framework for Edge Inference. 67-79 - Xiaolong Tu, Anik Mallik, Dawei Chen, Kyungtae Han, Onur Altintas, Haoxin Wang, Jiang Xie:
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring Across Edge Devices. 80-93 - Amarjeet Saini, Omkar B. Shende, Mohammad Khalid Pandit, Rijurekha Sen, Gayathri Ananthanarayanan:
Bang for the Buck: Evaluating the Cost-Effectiveness of Heterogeneous Edge Platforms for Neural Network Workloads. 94-107 - James Choncholas, Ketan Bhardwaj, Vladimir Kolesnikov, Ada Gavrilovska:
Angler: Dark Pool Resource Allocation. 108-120 - Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant J. Shenoy:
SODA: Protecting Proprietary Information in On-Device Machine Learning Models. 121-132 - Charles Cao, Jayne Wu, Hairong Qi, Shigetoshi Eda:
Blockchain-Based Runtime Attestation Against Physical Fault Injection Attacks on Edge Devices. 133-144 - Tianyu Bai, Qing Yang, Song Fu:
User-Defined Privacy Preserving Data Sharing for Connected Autonomous Vehicles Utilizing Edge Computing. 145-157 - Cynthia Marcelino, Stefan Nastic:
CWASI: A WebAssembly Runtime Shim for Inter-Function Communication in the Serverless Edge-Cloud Continuum. 158-170 - Bo Hu, Wenjun Hu:
Middleware Support for Edge Data Analytics Over Heterogeneous Scenarios. 171-184 - Yongzhou Chen, Ammar Tahir, Francis Y. Yan, Radhika Mittal:
Octopus: In-Network Content Adaptation to Control Congestion on 5G Links. 199-214 - Xiaotian Li, Yong Liu:
Fast Computation Flow Restoration with Path-Based Two-Stage Traffic Engineering. 215-227 - Yi Liu, Minmei Wang, Shouqian Shi, Yang Wang, Chen Qian:
EdgeCut: Fast and Low-Overhead Access of User-Associated Contents from Edge Servers. 228-240 - Yongkang Liu, Chianing Wang, Kentaro Oguchi:
Poster: Towards Realistic Federated Learning Evaluations for Connected and Automated Vehicles. 244-246 - Hongye Gao, Yichen Shi, Weixiong Rao, Qiongmin Ma:
Demo: A Multi-Agent Communication Framework in Cooperative Detection System. 247-249 - Kaiqi Zhao, Ming Zhao:
Poster: Self-Supervised Quantization-Aware Knowledge Distillation. 250-252 - Kevyn Angueira Irizarry, Christopher Stewart:
Poster: Profiling Edge Resource Demands of Zoom Maneuvers for Autonomous Unmanned Aerial Vehicles. 253-254 - Uwe Gropengießer, Florian Brandherm, Max Mühlhäuser:
Poster: Processing of Latency- and Deadline-Aware Big Data Approaches at the Edge. 255-257 - Oleg Zatulovsky, Leonid Barenboim, Rami Drucker, Shai Segal:
Poster: Synchronizing Devices with Minimal Data Exchange and Applications for Graph-Based SLAM. 258-260 - Jason Xu, Yongtao Yao:
Poster: A Demo of Autoware-Based Autonomous Driving Using Depth Sensing. 261-263 - Uwe Gropengiesser, Julian Liphardt, Michael Matthé, Max Mühlhäuser:
Poster: (Re)-Configuration Framework for Mission-Critical Applications in Edge Environments. 264-266 - James Choncholas, Pujith Kachana, André Mateus, Gregoire Phillips, Ada Gavrilovska:
Demo: Privacy-Preserving Localization for Edge-Assisted Robotic Navigation. 267-269 - Yitao Chen, Ming Zhao, Dawei Chen, Kyungtae Han, John Kenney:
Poster: Efficient Video Instance Segmentation with Early Exit at the Edge. 270-272 - Masahiko Ando, Keita Yamane, Takashi Oshima:
Poster: Fast GPU Inference with Unstructurally Pruned DNNs for Explainable DOC. 273-275 - Seyhan Ucar, Emrah Akin Sisbot, Kentaro Oguchi:
Poster: Edge-Assisted Unsafe Driving Detection. 276-278 - Hongyu Ke, Haoxin Wang:
Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing. 279-281 - Qiren Wang, Ruijie Feng, Weisong Shi:
Poster: Enhancing Autonomous Vehicles Safety Through Edge-Based Anomaly Detection. 282-284 - Arpan Bhattacharjee, Hamza Mahmood, Sidi Lu, Nejib Ammar, Akila Ganlath, Weisong Shi:
Poster: Edge-Assisted Over-the-Air Software Updates. 285-286 - Brett Piggott, Siddhant Patil, Guohuan Feng, Ibrahim Odat, Rajdeep Mukherjee, Balakrishnan Dharmalingam, Anyi Liu:
Net-GPT: A LLM-Empowered Man-in-the-Middle Chatbot for Unmanned Aerial Vehicle. 287-293 - Seyed Samie Mostafavi, Vishnu Narayanan Moothedath, Stefan Rönngren, Neelabhro Roy, Gourav Prateek Sharma, Sangwon Seo, Manuel Osvaldo Jesus Olguin Muñoz, James Gross:
ExPECA: An Experimental Platform for Trustworthy Edge Computing Applications. 294-299 - Alexander Y. C. Huang, Yitao Chen, Dijiang Huang, Ming Zhao:
Semantic Privacy-Preserving for Video Surveillance Services on the Edge. 300-305 - Saketh Poduvu, Sayed M. Saghaian N. E., Ekincan Ufuktepe, Alicia Esquivel Morel, Prasad Calyam:
Risk-Based Zero Trust Scale for Tactical Edge Network Environments. 306-312 - Summit Shrestha, Zhengquan Li, Khairul Mottakin, Zheng Song, Qiang Zhu:
From Tight Coupling to Flexibility: A Digital Twin Middleware Layer for the ShakeAlert System. 313-318 - Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Ziran Wang:
Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins. 319-324 - Khaled Alanezi, Shivakant Mishra:
Towards a Scalable Architecture for Building Digital Twins at the Edge. 325-329 - Md Nahid Hasan Shuvo, Qiuming Zhu, Moinul Hossain:
Empowering Digital Twin: Early Action Decision through GAN-Enhanced Predictive Frame Synthesis for Autonomous Vehicles. 330-335 - Roja Eswaran, Mingjie Yan, Kartik Gopalan:
Template-Aware Live Migration of Virtual Machines. 336-340 - D. J. Shyy, Cuong Luu, David Gabay, John D. Xu, David Bate, Lingjia Liu, Tugba Erpek:
Multi-Hop User Equipment (UE) to UE Relays for MANET/Mesh Leveraging 5G NR Sidelink. 341-346 - Yongtao Yao, Liping Julia Zhu, Weisong Shi:
DICE: Dynamic In-Situ Control for Edge-Based Applications. 347-359 - Purva Makarand Mhasakar, Kevin Bhadresh Doshi, Ning Wang, Shen-Shyang Ho, Haibin Haibin:
Distributed Tracking and Verifying: A Real-Time and High-Accuracy Visual Tracking Edge Computing Framework for Internet of Things. 360-364 - Honghao Zheng, Yang Yi:
Spiking Neural Encoding Schemes and STDP Training Algorithms for Edge Computing. 365-371 - Asadullah Tariq, Abderrahmane Lakas, Farag M. Sallabi, Tariq Qayyum, Mohamed Adel Serhani, Ezedin Barka:
Empowering Trustworthy Client Selection in Edge Federated Learning Leveraging Reinforcement Learning. 372-377 - Kousalya Soumya Lahari Voleti, Shen-Shyang Ho:
Personalized Learning with Limited Data on Edge Devices Using Federated Learning and Meta-Learning. 378-382 - Nicholas Bovee, Stephen Piccolo, Shen-Shyang Ho, Ning Wang:
Experimental Test-Bed for Computation Offloading for Cooperative Inference on Edge Devices. 383-387
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