Table of Contents

• Stress-Testing USB Accelerators for Efficient Edge InferenceAlexander Van Der Staay, Raphael Fischer 0001, Sebastian Buschjäger. 1-14 [doi]
• EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge CloudsAmran Haroon, Liuyi Jin, Radu Stoleru, Maxwell Maurice, Roger Blalock 0001. 1-14 [doi]
• Righteous: Automatic Right-Sizing for Complex Edge DeploymentsAniruddha Rakshit, Salil Reddy, Rajiv Ramnath, Anish Arora, Jayson Boubin. 15-28 [doi]
• Colibri: Efficient Collection of Fine-Grained Resource Metrics Necessary for Mobile Edge ComputingKe-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska. 29-44 [doi]
• Low-Energy On-Device Personalization for MCUsYushan Huang, Ranya Aloufi, Xavier F. Cadet, Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi. 45-58 [doi]
• CroMA: Enhancing Fault-Resilience of Machine Learning-Coupled IoT ApplicationsYousef AlShehri, Lakshmish Ramaswamy. 59-70 [doi]
• Camera: Churn-Tolerant Mutual Exclusion for the EdgeAman Khinvasara, Indranil Gupta. 71-83 [doi]
• FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the EdgeSifat Ut Taki, Arthi Padmanabhan, Spyridon Mastorakis. 98-109 [doi]
• An Accurate and Efficient Clustered Federated Learning for Mobile Edge DevicesSudipta Saha Shubha, Haiying Shen. 110-122 [doi]
• TA-ASF: Attention-Sensitive Token Sampling and Fusing for Visual Transformer Models on the EdgeJunquan Chen, Xingzhou Zhang, Wei Zhou 0011, Weisong Shi. 123-134 [doi]
• OVIDA: Orchestrator for Video Analytics on Disaggregated ArchitectureManavjeet Singh, Sri Pramodh Rachuri, Bryan Bo Cao, Abhinav Sharma, Venkata Bhumireddy, Francesco Bronzino, Samir R. Das, Anshul Gandhi, Shubham Jain. 135-148 [doi]
• VideoJam: Self-Balancing Architecture for Live Video AnalyticsYoussouph Faye, Francescomaria Faticanti, Shubham Jain, Francesco Bronzino. 149-163 [doi]
• Optimizing Edge Offloading Decisions for Object DetectionJiaming Qiu, Ruiqi Wang, Brooks Hu, Roch Guérin, Chenyang Lu 0001. 164-177 [doi]
• The OODA Loop of Cloudlet-Based Autonomous DronesMihir Bala, Aditya Chanana, Xiangliang Chen, Qifei Dong, Thomas Eiszler, Jingao Xu, Padmanabhan Pillai, Mahadev Satyanarayanan. 178-190 [doi]
• EcoEdgeInfer: Dynamically Optimizing Latency and Sustainability for Inference on Edge DevicesSri Pramodh Rachuri, Nazeer Shaik, Mehul Choksi, Anshul Gandhi. 191-205 [doi]
• Accurate and Ubiquitous Floor Identification at the Edge using a Single Cell TowerSherif Mostafa, Moustafa Youssef 0001, Khaled A. Harras. 206-219 [doi]
• Characterizing and Modeling AI-Driven Animal Ecology Studies at the EdgeJenna Kline, Austin O'Quinn, Tanya Y. Berger-Wolf, Christopher Stewart. 220-233 [doi]
• Falcon: Live Reconfiguration for Stateful Stream Processing on the EdgePritish Mishra, Nelson Bore, Brian Ramprasad, Myles Thiessen, Moshe Gabel, Alexandre Da Silva Veith, Oana Balmau, Eyal de Lara. 234-248 [doi]
• Where is the Testbed for My Federated Learning Research?Janez Bozic, Amândio R. Faustino, Boris Radovic, Marco Canini, Veljko Pejovic. 249-264 [doi]
• HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D ContinuumThomas W. Pusztai, Cynthia Marcelino, Stefan Nastic. 265-278 [doi]
• Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCsSoroush Heidari, Mehdi Ghasemi 0003, Young-geun Kim, Carole-Jean Wu, Sarma B. K. Vrudhula. 279-291 [doi]
• Meunik: Rethinking Virtual Machine Memory Resource Management for Unikernel-Based VMsYongshu Bai, Xin Zhang, Yifan Zhang. 292-305 [doi]
• An Efficient Data Transmission Framework for Connected VehiclesYichen Luo, Yongtao Yao, Junzhou Chen, Sidi Lu, Weisong Shi. 306-320 [doi]
• Performance Analysis of Lightweight Container Orchestration Platforms for Edge-Based IoT ApplicationsMuhammad Usman 0012, Simone Ferlin, Anna Brunström. 321-332 [doi]
• Seer: A Framework for Optimizing Traffic Camera Placement and Deep Learning Inference at the Edge for Vehicle Path ReconstructionSiddhant Jain, Kunal Jain, Arun Ravindran, Suresh Purini. 333-345 [doi]
• Adaptive Frame-Aware Network for Driver Monitoring SystemsKhaled Chikh, Roberto Cavicchioli. 346-351 [doi]
• Smart Mobility Applications Supported by Non-Terrestrial Networks: Addressing the Need for Low Per-Packet DelaysArmir Bujari, Mirko Franco, Salah Eddine Merzougui, Claudio E. Palazzi, Lasse B. Schmidt. 352-357 [doi]
• Integrating Smart Traffic Lights for Enhanced Urban Air Quality in Smart CitiesGiacomo Cabri, Denny Ciccia, Manuela Montangero, Filippo Muzzini. 358-363 [doi]
• Exploring Human and Artificial Attention Mechanisms in Driving ScenariosMartin Rechberger, Daniel Kraus, Peter Priller, Olga Saukh. 364-369 [doi]
• Smart Path Planner: Enhancing Personalized Navigation and Environmental AwarenessRini Apriyanti Purba, Neri Riccardo, Luca Bedogni. 370-375 [doi]
• Enabling Accurate and Timely Prognostics for Aircraft Turbofan EnginesPhilippa Scroggins, Sidi Lu. 376-382 [doi]
• Towards a Distributed Data Mesh Model for the IoT-Edge-Cloud Continuum in Smart CitiesEnrico Rossini, Nicola Bicocchi, Natalia Selini Hadjidimitriou, Marcello Pietri, Marco Picone, Marco Mamei. 383-388 [doi]
• Effects of Geohashing and K-Means Clustering on Uniqueness in a Mobility DatasetAndrea Artioli, Luca Bedogni, Mauro Andreolini. 389-394 [doi]
• GT-Craft: A Framework for Fast Prototyping Geospatial-Based Digital Twins in Unity 3DJin Heo, Thomas David Novlan, Salam Akoum, Ada Gavrilovska. 395-401 [doi]
• Are We There Yet? - Use Cases and Requirements for the Industrial MetaverseFlorian Heimann, Oliver Wetter, Philip Wette. 402-409 [doi]
• Privacy Protection in WiFi Sensing via CSI FuzzingTianyang Zhang, Bozhong Yu, Yaxiong Xie, Huanle Zhang. 410-416 [doi]
• SecFePAS: Secure Facial-Expression-Based Pain Assessment with Deep Learning at the EdgeKanwal Batool, Saleem Anwar, Zoltán Ádám Mann. 417-424 [doi]
• Intent-Driven Data Falsification Attack on Collaborative IoT-Edge EnvironmentsShima Yousefi, Shameek Bhattacharjee, Saptarshi Debroy. 425-430 [doi]
• Detection and Classification of High Energy Cosmic Rays Using TinyMLMoez Altayeb, Marco Zennaro. 431-436 [doi]
• On Tiny Feature Engineering: Towards an Embedded EMG-Based Hand Gesture Recognition ModelAndres D. Gomez-Bautista, Diego Mendez 0001, Catalina Alvarado-Rojas, Iván Fernando Mondragón, Julián D. Colorado. 437-442 [doi]
• Tiny, Distributed, and Eco-Optimized: Proposal of Design Guidelines for Environmentally Friendly ML DevicesDavid J. Cuartielles Ruiz, Attila Géczy, Vincent Grennerat, Pascal Xavier. 443-448 [doi]
• An Analysis of Network Overhead in Distributed TinyMLKet Hollingsworth, Sean Nian, Alan Gutierrez, Arthi Padmanabhan. 449-455 [doi]
• Smart Split: Leveraging TinyML and Split Computing for Efficient Edge AIFabio Bove, Luca Bedogni. 456-460 [doi]
• A Comparison Between Classical and Quantum Machine Learning for Mobile App Traffic ClassificationVincenzo Spadari, Idio Guarino, Domenico Ciuonzo, Antonio Pescapè. 461-467 [doi]
• DiCE-M: Distributed Code Generation and Execution for Marine Applications - An Edge-Cloud ApproachGiuseppe Coviello, Kunal Rao, Gennaro Mellone, Ciro Giuseppe De Vita, Srimat Chakradhar. 468-475 [doi]
• Hierarchical Inference at the Edge: A Batch Processing ApproachAfroditi Letsioue, Vishnu Narayanan Moothedathts, Adarsh Prasad Behera, Jaya Prakash Champatie, James Grosse. 476-482 [doi]
• Beyond Federated Learning: Survival-Critical Machine LearningEric Sturzinger, Mahadev Satyanarayanan. 483-489 [doi]
• Edge-Aware Dual Branch Network for Nucleus Instance SegmentationJunzhou Chen, Yanfu Zhang, Sidi Lu. 490-497 [doi]
• FedSLO: Towards SLO Guarantee for Federated ComputingHao Che, Todd Rosenkrantz, Xiaoyan Shen, Hong Jiang 0001, Zhijun Wang 0001. 498-504 [doi]
• Demo: End-to-End Service Quality Manager for Edge ComputingJaime Sebastian Burbano, Eldiyar Zhantileuov, Mohammad Amin Salimi, Rolf Schuster. 505-507 [doi]
• Demo: Backdoor Through the Front Door: Demonstrating Security Flaws in the Eufy EcosystemVictor Goeman, Tom Cordemans, Dairo de Ruck, Jorn Lapon, Vincent Naessens. 508-509 [doi]
• Demo: Edge Federated Learning over a LoRa Mesh NetworkNil Llisterri Giménez, Felix Freitag, Leandro Navarro 0001, Mennan Selimi. 510-511 [doi]
• Demo: Emulation Platform to Build Digital Twins of Edge Computing EnvironmentsUrwah Muslim, Stephan Recker. 512-514 [doi]
• Demo: Spiderweb - Reliability of AI on the Edge, Effects of Hardware Disturbances on Machine Learning SoftwareJens Vankeirsbilck, Jeroen Boydens. 515-517 [doi]
• Poster: Adapting XR Perception Serving for Edge Server ScalabilityJin Heo, Ada Gavrilovska. 518-520 [doi]
• Poster: Clipped Quantization and Huffman Coding for Efficient Secure Transfer in Federated LearningSeung Ho Lim, Min Choi, Ki-Woong Park. 521-522 [doi]
• Developing a Self-Explanatory TransformerRasha Karakchi, Ryan Karbowniczak. 523-525 [doi]
• Poster: Energy-Aware Partitioning for Edge AIDewant Katare, Mengying Zhou, Yang Chen 0001, Marijn Janssen, Aaron Yi Ding. 526-527 [doi]
• Poster: Feasibility of Runtime-Neutral Wasm Instrumentation for Edge-Cloud Workload HandoverYuki Nakata, Katsuya Matsubara. 528-530 [doi]
• Poster: Implementing Data Reduction at the Middle Point on the Computing ContinuumYusuke Tanimura. 531-532 [doi]
• Poster: Lagrange-Based Optimized Forwarding Strategy for Information-Centric Vehicular NetworksMuhammad Nadeem Ali, Muhammad Imran 0024, Ihsan Ullah, Gökhan Seçinti, Byung-Seo Kim. 533-535 [doi]
• Poster: LiDAR Utilisation for Enhanced Vehicle CapabilitiesAleksi Vuorinen, Ella Peltonen. 536-538 [doi]
• Poster: Reliable 3D Reconstruction for Ad-Hoc Edge ImplementationsMd Nurul Absur, Swastik Brahma, Saptarshi Debroy. 539-541 [doi]
• Poster: Robust Edge-Based Detection of Bot Attacks Through Federated LearningJavier Martínez Llamas, Davy Preuveneers, Wouter Joosen. 542-544 [doi]
• Poster: Multimodal Data Analytics and Machine Learning for Software-Defined VehiclesBenjamin Kämä, Ella Peltonen. 545-547 [doi]