Table of Contents

• Traffic Safety System Edge AI ComputingAlbert Chun Chen Liu, Oscar Ming Kin Law, Jeremiah Liao, Jeffrey Y. C. Chen, Andy Jia En Hsieh, Cheng-Hung Hsieh. 1-2 [doi]
• Characterizing and Accelerating End-to-End EdgeAI Inference Systems for Object Detection ApplicationsYujie Hui, Jeffrey Lien, Xiaovi Lu. 1-12 [doi]
• EDDL: A Distributed Deep Learning System for Resource-limited Edge Computing EnvironmentPengzhan Hao, Yifan Zhang. 1-13 [doi]
• Sparse Bitmap Compression for Memory-Efficient Training on the EdgeAbdelrahman Hosny, Marina Neseem, Sherief Reda. 14-25 [doi]
• MIRAGE: Machine Learning-based Modeling of Identical Replicas of the Jetson AGX Embedded PlatformHassan Halawa, Hazem A. Abdelhafez, Mohamed Osama Ahmed, Karthik Pattabiraman, Matei Ripeanu. 26-40 [doi]
• Real-Time Edge Classification: Optimal Offloading under Token Bucket ConstraintsAyan Chakrabarti, Roch Guérin, Chenyang Lu 0001, Jiangnan Liu. 41-54 [doi]
• SecureFL: Privacy Preserving Federated Learning with SGX and TrustZoneEugene N. Kuznetsov, Yitao Chen, Ming Zhao. 55-67 [doi]
• LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated LearningAng Li 0005, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li 0001. 68-79 [doi]
• Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile ProcessorsJie Liu, Jiawen Liu, Zhen Xie, Xia Ning, Dong Li 0001. 80-93 [doi]
• Aerogel: Lightweight Access Control Framework for WebAssembly-Based Bare-Metal IoT DevicesRenju Liu, Luis Garcia, Mani B. Srivastava. 94-105 [doi]
• CAPLets: Resource Aware, Capability-Based Access Control for IoTFatih Bakir, Chandra Krintz, Rich Wolski. 106-120 [doi]
• Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video SurveillanceJustin Sanchez, Christopher Neff, Hamed Tabkhi. 121-134 [doi]
• AQuA: Analytical Quality Assessment for Optimizing Video Analytics SystemsSibendu Paul, Utsav Drolia, Y. Charlie Hu, Srimat T. Chakradhar. 135-147 [doi]
• Towards Performance Clarity of Edge Video AnalyticsZhujun Xiao, Zhengxu Xia, Haitao Zheng 0001, Ben Y. Zhao, Junchen Jiang. 148-164 [doi]
• Microservice-based Edge Device Architecture for Video AnalyticsSi Young Jang, Boyan Kostadinov, Dongman Lee. 165-177 [doi]
• Spider: A Multi-Hop Millimeter-Wave Network for Live Video AnalyticsZhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Paramvir Bahl. 178-191 [doi]
• A Data-Driven Optimal Control Decision-Making System for Multiple Autonomous VehiclesLiuwang Kang, Haiying Shen. 192-201 [doi]
• FENXI: Deep-learning Traffic Analytics at the edgeMassimo Gallo, Alessandro Finamore, Gwendal Simon, Dario Rossi. 202-213 [doi]
• The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing PlatformsLorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo. 214-227 [doi]
• ePulsar: Control Plane for Publish-Subscribe Systems on Geo-Distributed Edge InfrastructureHarshit Gupta, Tyler C. Landle, Umakishore Ramachandran. 228-241 [doi]
• OneOS: Middleware for Running Edge Computing Applications as Distributed POSIX PipelinesKumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman. 242-256 [doi]
• Will They or Won't They?: Toward Effective Prediction of Watch Behavior for Time-Shifted Edge-Caching of Netflix Series VideosShruti Lall, Raghupathy Sivakumar. 257-270 [doi]
• DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the EdgeZhe Yang, Klara Nahrstedt, Hongpeng Guo, Qian Zhou. 271-284 [doi]
• AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming AnalyticsDhruv Kumar 0001, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman. 297-311 [doi]
• The Performance Argument for Blockchain-based Edge DNS CachingJames Choncholas, Ketan Bhardwaj, Ada Gavrilovska. 312-318 [doi]
• Exploring System Performance of Continual Learning for Mobile and Embedded Sensing ApplicationsYoung D. Kwon, Jagmohan Chauhan, Abhishek Kumar, Pan Hui 0001, Cecilia Mascolo. 319-332 [doi]
• Learning Based Edge Computing in Air-to-Air Communication NetworkZhe Wang, Hongxiang Li, Eric J. Knoblock, Rafael D. Apaza. 333-338 [doi]
• Towards Open and Cross Domain Edge Emulation - The AdvantEDGE PlatformRobert Gazda, Michel Roy, Jim Blakley, Aly Sakr, Rolf Schuster. 339-344 [doi]
• Edge Intelligence for Beyond-5G through Federated LearningShashank Jere, Yang Yi 0002. 345-349 [doi]
• SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated LearningPavana Prakash, Jiahao Ding, Minglei Shu, Junyi Wang, Wenjun Xu 0001, Miao Pan. 350-354 [doi]
• Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge ComputingPinyarash Pinyoanuntapong, Tagore Pothuneedi, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen 0001, Pu Wang. 355-360 [doi]
• Collaborative Cloud-Edge-Local Computation Offloading for Multi-Component ApplicationsAnousheh Gholami, John S. Baras. 361-365 [doi]
• Federated Learning with Infrastructure Resource Limitations in Vehicular Object DetectionYiyue Chen, Chianing Johnny Wang, BaekGyu Kim. 366-370 [doi]
• Edge-Assisted Collaborative Perception in Autonomous Driving: A Reflection on Communication DesignRuozhou Yu, Dejun Yang, Hao Zhang 0011. 371-375 [doi]
• Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement LearningBabak Badnava, Taejoon Kim, Kenny Cheung, Zaheer Ali, Morteza Hashemi. 376-380 [doi]
• You Can Enjoy Augmented Reality While Running Around: An Edge-based Mobile AR SystemHaoxin Wang, Jiang Xie 0001. 381-385 [doi]
• Edge-based fever screening system over private 5GMurugan Sankaradas, Kunal Rao, Ravi Rajendran, Amit Redkar, Srimat Chakradhar. 386-391 [doi]
• ◊Santosh Kumar Nukavarapu, Mohammed Ayyat, Tamer Nadeem. 392-396 [doi]
• Identification of security threats, safety hazards, and interdependencies in industrial edge computingPatrick Denzler, Siegfried Hollerer, Thomas Frühwirth, Wolfgang Kastner. 397-402 [doi]
• Scheduling Real-Time Applications on Edge Computing Platforms with Remote Attestation for SecurityNiklas Reusch, Paul Pop. 403-408 [doi]
• Industrial Edge-based Cyber-Physical Systems - Application Needs and Concerns for RealizationMartin Törngren, Haydn Thompson, Erik Herzog, Rafia Inam, James Gross, György Dán. 409-415 [doi]
• Data-Driven End-to-End Delay Violation Probability Prediction with Extreme Value Mixture ModelsSeyed Samie Mostafavi, György Dán, James Gross. 416-422 [doi]
• A Decomposed Deep Training Solution for Fog Computing PlatformsJia Qian, Mohammadreza Barzegaran. 423-431 [doi]
• Adaptive Security Risk Mitigation in Edge Computing: Randomized Defense Meets Prospect TheoryTalal Halabi. 432-437 [doi]
• Accelerator-Aware Kubernetes Scheduler for DNN Tasks on Edge Computing EnvironmentJungae Park, Un-Sook Choi, Seung-woo Kum, JaeWon Moon, Kyungyong Lee. 438-440 [doi]
• TrustZone Enhanced Plausibly Deniable Encryption System for Mobile DevicesJinghui Liao, Bo Chen, Weisong Shi. 441-447 [doi]
• How BlockChain Can Help Enhance The Security And Privacy in Edge Computing?Jinyue Song, Tianbo Gu, Prasant Mohapatra. 448-453 [doi]
• CANGuard: Practical Intrusion Detection for In-Vehicle Network via Unsupervised LearningWu Zhou, Hao Fu, Shray Kapoor. 454-458 [doi]
• MailLeak: Obfuscation-Robust Character Extraction Using Transfer LearningWei Wang, Zeyu Ning, Hugues Nelson Iradukunda, Qingquan Zhang, Ting Zhu, Ping Yi. 459-464 [doi]
• Poster: Enabling Flexible Edge-assisted XRJin Heo, Ketan Bhardwaj, Ada Gavrilovska. 465-467 [doi]
• Demo: OneOS - Middleware for Running Edge Computing Applications as Distributed POSIX PipelinesKumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman. 470-472 [doi]