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ORCID9th SEC 2024: Rome, Italy
- IEEE/ACM Symposium on Edge Computing, SEC 2024, Rome, Italy, December 4-7, 2024. IEEE 2024, ISBN 979-8-3503-7828-3
- Amran Haroon, Liuyi Jin, Radu Stoleru, Maxwell Maurice, Roger Blalock:
EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge Clouds. 1-14 - Alexander Van Der Staay, Raphael Fischer, Sebastian Buschjäger:
Stress-Testing USB Accelerators for Efficient Edge Inference. 1-14 - Aniruddha Rakshit, Salil Reddy, Rajiv Ramnath, Anish Arora, Jayson Boubin:
Righteous: Automatic Right-Sizing for Complex Edge Deployments. 15-28 - Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska:
Colibri: Efficient Collection of Fine-Grained Resource Metrics Necessary for Mobile Edge Computing. 29-44 - Yushan Huang, Ranya Aloufi, Xavier F. Cadet, Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi:
Low-Energy On-Device Personalization for MCUs. 45-58 - Yousef AlShehri, Lakshmish Ramaswamy:
CroMA: Enhancing Fault-Resilience of Machine Learning-Coupled IoT Applications. 59-70 - Aman Khinvasara, Indranil Gupta:
Camera: Churn-Tolerant Mutual Exclusion for the Edge. 71-83 - Sifat Ut Taki, Arthi Padmanabhan, Spyridon Mastorakis:
FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge. 98-109 - Sudipta Saha Shubha, Haiying Shen:
An Accurate and Efficient Clustered Federated Learning for Mobile Edge Devices. 110-122 - Junquan Chen, Xingzhou Zhang, Wei Zhou, Weisong Shi:
TA-ASF: Attention-Sensitive Token Sampling and Fusing for Visual Transformer Models on the Edge. 123-134 - Manavjeet Singh, Sri Pramodh Rachuri, Bryan Bo Cao, Abhinav Sharma, Venkata Bhumireddy, Francesco Bronzino, Samir R. Das, Anshul Gandhi, Shubham Jain:
OVIDA: Orchestrator for Video Analytics on Disaggregated Architecture. 135-148 - Youssouph Faye, Francescomaria Faticanti, Shubham Jain, Francesco Bronzino:
VideoJam: Self-Balancing Architecture for Live Video Analytics. 149-163 - Jiaming Qiu, Ruiqi Wang, Brooks Hu, Roch Guérin, Chenyang Lu:
Optimizing Edge Offloading Decisions for Object Detection. 164-177 - Mihir Bala, Aditya Chanana, Xiangliang Chen, Qifei Dong, Thomas Eiszler, Jingao Xu, Padmanabhan Pillai, Mahadev Satyanarayanan:
The OODA Loop of Cloudlet-Based Autonomous Drones. 178-190 - Sri Pramodh Rachuri, Nazeer Shaik, Mehul Choksi, Anshul Gandhi:
EcoEdgeInfer: Dynamically Optimizing Latency and Sustainability for Inference on Edge Devices. 191-205 - Sherif Mostafa, Moustafa Youssef, Khaled A. Harras:
Accurate and Ubiquitous Floor Identification at the Edge using a Single Cell Tower. 206-219 - Jenna Kline, Austin O'Quinn, Tanya Y. Berger-Wolf, Christopher Stewart:
Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge. 220-233 - Pritish Mishra, Nelson Bore, Brian Ramprasad, Myles Thiessen, Moshe Gabel, Alexandre Da Silva Veith, Oana Balmau, Eyal de Lara:
Falcon: Live Reconfiguration for Stateful Stream Processing on the Edge. 234-248 - Janez Bozic, Amândio R. Faustino, Boris Radovic, Marco Canini, Veljko Pejovic:
Where is the Testbed for My Federated Learning Research? 249-264 - Thomas W. Pusztai, Cynthia Marcelino, Stefan Nastic:
HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum. 265-278 - Soroush Heidari, Mehdi Ghasemi, Young Geun Kim, Carole-Jean Wu, Sarma B. K. Vrudhula:
Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCs. 279-291 - Yongshu Bai, Xin Zhang, Yifan Zhang:
Meunik: Rethinking Virtual Machine Memory Resource Management for Unikernel-Based VMs. 292-305 - Yichen Luo, Yongtao Yao, Junzhou Chen, Sidi Lu, Weisong Shi:
An Efficient Data Transmission Framework for Connected Vehicles. 306-320 - Muhammad Usman, Simone Ferlin, Anna Brunström:
Performance Analysis of Lightweight Container Orchestration Platforms for Edge-Based IoT Applications. 321-332 - Siddhant Jain, Kunal Jain, Arun Ravindran, Suresh Purini:
Seer: A Framework for Optimizing Traffic Camera Placement and Deep Learning Inference at the Edge for Vehicle Path Reconstruction. 333-345 - Khaled Chikh, Roberto Cavicchioli:
Adaptive Frame-Aware Network for Driver Monitoring Systems. 346-351 - Armir Bujari, Mirko Franco, Salah Eddine Merzougui, Claudio E. Palazzi, Lasse B. Schmidt:
Smart Mobility Applications Supported by Non-Terrestrial Networks: Addressing the Need for Low Per-Packet Delays. 352-357 - Giacomo Cabri, Denny Ciccia, Manuela Montangero, Filippo Muzzini:
Integrating Smart Traffic Lights for Enhanced Urban Air Quality in Smart Cities. 358-363 - Martin Rechberger, Daniel Kraus, Peter Priller, Olga Saukh:
Exploring Human and Artificial Attention Mechanisms in Driving Scenarios. 364-369 - Rini Apriyanti Purba, Neri Riccardo, Luca Bedogni:
Smart Path Planner: Enhancing Personalized Navigation and Environmental Awareness. 370-375 - Philippa Scroggins, Sidi Lu:
Enabling Accurate and Timely Prognostics for Aircraft Turbofan Engines. 376-382 - Enrico Rossini, Nicola Bicocchi, Natalia Selini Hadjidimitriou, Marcello Pietri, Marco Picone, Marco Mamei:
Towards a Distributed Data Mesh Model for the IoT-Edge-Cloud Continuum in Smart Cities. 383-388 - Andrea Artioli, Luca Bedogni, Mauro Andreolini:
Effects of Geohashing and K-Means Clustering on Uniqueness in a Mobility Dataset. 389-394 - Jin Heo, Thomas David Novlan, Salam Akoum, Ada Gavrilovska:
GT-Craft: A Framework for Fast Prototyping Geospatial-Based Digital Twins in Unity 3D. 395-401 - Florian Heimann, Oliver Wetter, Philip Wette:
Are We There Yet? - Use Cases and Requirements for the Industrial Metaverse. 402-409 - Tianyang Zhang, Bozhong Yu, Yaxiong Xie, Huanle Zhang:
Privacy Protection in WiFi Sensing via CSI Fuzzing. 410-416 - Kanwal Batool, Saleem Anwar, Zoltán Ádám Mann:
SecFePAS: Secure Facial-Expression-Based Pain Assessment with Deep Learning at the Edge. 417-424 - Shima Yousefi, Shameek Bhattacharjee, Saptarshi Debroy:
Intent-Driven Data Falsification Attack on Collaborative IoT-Edge Environments. 425-430 - Moez Altayeb, Marco Zennaro:
Detection and Classification of High Energy Cosmic Rays Using TinyML. 431-436 - Andres D. Gomez-Bautista, Diego Mendez, Catalina Alvarado-Rojas, Iván Fernando Mondragón, Julián D. Colorado:
On Tiny Feature Engineering: Towards an Embedded EMG-Based Hand Gesture Recognition Model. 437-442 - David J. Cuartielles Ruiz, Attila Géczy, Vincent Grennerat, Pascal Xavier:
Tiny, Distributed, and Eco-Optimized: Proposal of Design Guidelines for Environmentally Friendly ML Devices. 443-448 - Ket Hollingsworth, Sean Nian, Alan Gutierrez, Arthi Padmanabhan:
An Analysis of Network Overhead in Distributed TinyML. 449-455 - Fabio Bove, Luca Bedogni:
Smart Split: Leveraging TinyML and Split Computing for Efficient Edge AI. 456-460 - Vincenzo Spadari, Idio Guarino, Domenico Ciuonzo, Antonio Pescapè:
A Comparison Between Classical and Quantum Machine Learning for Mobile App Traffic Classification. 461-467 - Giuseppe Coviello, Kunal Rao, Gennaro Mellone, Ciro Giuseppe De Vita, Srimat Chakradhar:
DiCE-M: Distributed Code Generation and Execution for Marine Applications - An Edge-Cloud Approach. 468-475 - Afroditi Letsioue, Vishnu Narayanan Moothedathts, Adarsh Prasad Behera, Jaya Prakash Champatie, James Grosse:
Hierarchical Inference at the Edge: A Batch Processing Approach. 476-482 - Eric Sturzinger, Mahadev Satyanarayanan:
Beyond Federated Learning: Survival-Critical Machine Learning. 483-489 - Junzhou Chen, Yanfu Zhang, Sidi Lu:
Edge-Aware Dual Branch Network for Nucleus Instance Segmentation. 490-497 - Hao Che, Todd Rosenkrantz, Xiaoyan Shen, Hong Jiang, Zhijun Wang:
FedSLO: Towards SLO Guarantee for Federated Computing. 498-504 - Jaime Sebastian Burbano, Eldiyar Zhantileuov, Mohammad Amin Salimi, Rolf Schuster:
Demo: End-to-End Service Quality Manager for Edge Computing. 505-507 - Victor Goeman, Tom Cordemans, Dairo de Ruck, Jorn Lapon, Vincent Naessens:
Demo: Backdoor Through the Front Door: Demonstrating Security Flaws in the Eufy Ecosystem. 508-509 - Nil Llisterri Giménez, Felix Freitag, Leandro Navarro, Mennan Selimi:
Demo: Edge Federated Learning over a LoRa Mesh Network. 510-511 - Urwah Muslim, Stephan Recker:
Demo: Emulation Platform to Build Digital Twins of Edge Computing Environments. 512-514 - Jens Vankeirsbilck, Jeroen Boydens:
Demo: Spiderweb - Reliability of AI on the Edge, Effects of Hardware Disturbances on Machine Learning Software. 515-517 - Jin Heo, Ada Gavrilovska:
Poster: Adapting XR Perception Serving for Edge Server Scalability. 518-520 - Seung-Ho Lim, Min Choi, Ki-Woong Park:
Poster: Clipped Quantization and Huffman Coding for Efficient Secure Transfer in Federated Learning. 521-522 - Rasha Karakchi, Ryan Karbowniczak:
Developing a Self-Explanatory Transformer. 523-525 - Dewant Katare, Mengying Zhou, Yang Chen, Marijn Janssen, Aaron Yi Ding:
Poster: Energy-Aware Partitioning for Edge AI. 526-527 - Yuki Nakata, Katsuya Matsubara:
Poster: Feasibility of Runtime-Neutral Wasm Instrumentation for Edge-Cloud Workload Handover. 528-530 - Yusuke Tanimura:
Poster: Implementing Data Reduction at the Middle Point on the Computing Continuum. 531-532 - Muhammad Nadeem Ali, Muhammad Imran, Ihsan Ullah, Gökhan Seçinti, Byung-Seo Kim:
Poster: Lagrange-Based Optimized Forwarding Strategy for Information-Centric Vehicular Networks. 533-535 - Aleksi Vuorinen, Ella Peltonen:
Poster: LiDAR Utilisation for Enhanced Vehicle Capabilities. 536-538 - Md Nurul Absur, Swastik Brahma, Saptarshi Debroy:
Poster: Reliable 3D Reconstruction for Ad-Hoc Edge Implementations. 539-541 - Javier Martínez Llamas, Davy Preuveneers, Wouter Joosen:
Poster: Robust Edge-Based Detection of Bot Attacks Through Federated Learning. 542-544 - Benjamin Kämä, Ella Peltonen:
Poster: Multimodal Data Analytics and Machine Learning for Software-Defined Vehicles. 545-547
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