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6th SEC 2021: San Jose, CA, USA
- 6th IEEE/ACM Symposium on Edge Computing, SEC 2021, San Jose, CA, USA, December 14-17, 2021. IEEE 2021, ISBN 978-1-4503-8390-5
- Albert Chun Chen Liu, Oscar Ming Kin Law, Jeremiah Liao, Jeffrey Y. C. Chen, Andy Jia En Hsieh, Cheng Hung Hsieh:
Traffic Safety System Edge AI Computing. 1-2 - Yujie Hui, Jeffrey Lien, Xiaoyi Lu:
Characterizing and Accelerating End-to-End EdgeAI Inference Systems for Object Detection Applications. 1-12 - Pengzhan Hao, Yifan Zhang:
EDDL: A Distributed Deep Learning System for Resource-limited Edge Computing Environment. 1-13 - Abdelrahman Hosny, Marina Neseem, Sherief Reda:
Sparse Bitmap Compression for Memory-Efficient Training on the Edge. 14-25 - Hassan Halawa, Hazem A. Abdelhafez, Mohamed Osama Ahmed, Karthik Pattabiraman, Matei Ripeanu:
MIRAGE: Machine Learning-based Modeling of Identical Replicas of the Jetson AGX Embedded Platform. 26-40 - Ayan Chakrabarti, Roch Guérin, Chenyang Lu, Jiangnan Liu:
Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints. 41-54 - Eugene N. Kuznetsov, Yitao Chen, Ming Zhao:
SecureFL: Privacy Preserving Federated Learning with SGX and TrustZone. 55-67 - Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. 68-79 - Jie Liu, Jiawen Liu, Zhen Xie, Xia Ning, Dong Li:
Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors. 80-93 - Renju Liu, Luis Garcia, Mani B. Srivastava:
Aerogel: Lightweight Access Control Framework for WebAssembly-Based Bare-Metal IoT Devices. 94-105 - Fatih Bakir, Chandra Krintz, Rich Wolski:
CAPLets: Resource Aware, Capability-Based Access Control for IoT. 106-120 - Justin Sanchez, Christopher Neff
, Hamed Tabkhi:
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance. 121-134 - Sibendu Paul, Utsav Drolia, Y. Charlie Hu, Srimat T. Chakradhar:
AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems. 135-147 - Zhujun Xiao, Zhengxu Xia, Haitao Zheng, Ben Y. Zhao, Junchen Jiang:
Towards Performance Clarity of Edge Video Analytics. 148-164 - Si Young Jang, Boyan Kostadinov, Dongman Lee:
Microservice-based Edge Device Architecture for Video Analytics. 165-177 - Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson
Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics. 178-191 - Liuwang Kang, Haiying Shen:
A Data-Driven Optimal Control Decision-Making System for Multiple Autonomous Vehicles. 192-201 - Massimo Gallo, Alessandro Finamore, Gwendal Simon, Dario Rossi:
FENXI: Deep-learning Traffic Analytics at the edge. 202-213 - Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo:
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms. 214-227 - Harshit Gupta, Tyler C. Landle, Umakishore Ramachandran
ePulsar: Control Plane for Publish-Subscribe Systems on Geo-Distributed Edge Infrastructure. 228-241 - Kumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman:
OneOS: Middleware for Running Edge Computing Applications as Distributed POSIX Pipelines. 242-256 - Shruti Lall, Raghupathy Sivakumar:
Will They or Won't They?: Toward Effective Prediction of Watch Behavior for Time-Shifted Edge-Caching of Netflix Series Videos. 257-270 - Zhe Yang, Klara Nahrstedt, Hongpeng Guo
DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge. 271-284 - Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics. 297-311 - James Choncholas, Ketan Bhardwaj, Ada Gavrilovska:
The Performance Argument for Blockchain-based Edge DNS Caching. 312-318 - Young D. Kwon
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications. 319-332 - Zhe Wang, Hongxiang Li, Eric J. Knoblock, Rafael D. Apaza:
Learning Based Edge Computing in Air-to-Air Communication Network. 333-338 - Robert Gazda, Michel Roy, Jim Blakley, Aly Sakr, Rolf Schuster:
Towards Open and Cross Domain Edge Emulation - The AdvantEDGE Platform. 339-344 - Shashank Jere, Yang Yi:
Edge Intelligence for Beyond-5G through Federated Learning. 345-349 - Pavana Prakash
SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated Learning. 350-354 - Pinyarash Pinyoanuntapong, Tagore Pothuneedi, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang
Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing. 355-360 - Anousheh Gholami, John S. Baras:
Collaborative Cloud-Edge-Local Computation Offloading for Multi-Component Applications. 361-365 - Yiyue Chen, Chianing Johnny Wang, BaekGyu Kim
Federated Learning with Infrastructure Resource Limitations in Vehicular Object Detection. 366-370 - Ruozhou Yu
Edge-Assisted Collaborative Perception in Autonomous Driving: A Reflection on Communication Design. 371-375 - Babak Badnava
Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning. 376-380 - Haoxin Wang, Jiang Xie:
You Can Enjoy Augmented Reality While Running Around: An Edge-based Mobile AR System. 381-385 - Murugan Sankaradas, Kunal Rao, Ravi Rajendran, Amit Redkar, Srimat Chakradhar:
Edge-based fever screening system over private 5G. 386-391 - Santosh Kumar Nukavarapu, Mohammed Ayyat, Tamer Nadeem
iBranchy: An Accelerated Edge Inference Platform for loT Devices◊. 392-396 - Patrick Denzler
Identification of security threats, safety hazards, and interdependencies in industrial edge computing. 397-402 - Niklas Reusch, Paul Pop
Scheduling Real-Time Applications on Edge Computing Platforms with Remote Attestation for Security. 403-408 - Martin Törngren, Haydn Thompson, Erik Herzog, Rafia Inam, James Gross, György Dán:
Industrial Edge-based Cyber-Physical Systems - Application Needs and Concerns for Realization. 409-415 - Seyed Samie Mostafavi
Data-Driven End-to-End Delay Violation Probability Prediction with Extreme Value Mixture Models. 416-422 - Jia Qian, Mohammadreza Barzegaran
A Decomposed Deep Training Solution for Fog Computing Platforms. 423-431 - Talal Halabi
Adaptive Security Risk Mitigation in Edge Computing: Randomized Defense Meets Prospect Theory. 432-437 - Jungae Park, Un-Sook Choi, Seung Woo Kum, Jaewon Moon, Kyungyong Lee:
Accelerator-Aware Kubernetes Scheduler for DNN Tasks on Edge Computing Environment. 438-440 - Jinghui Liao, Bo Chen, Weisong Shi:
TrustZone Enhanced Plausibly Deniable Encryption System for Mobile Devices. 441-447 - Jinyue Song, Tianbo Gu, Prasant Mohapatra:
How BlockChain Can Help Enhance The Security And Privacy in Edge Computing? 448-453 - Wu Zhou, Hao Fu, Shray Kapoor:
CANGuard: Practical Intrusion Detection for In-Vehicle Network via Unsupervised Learning. 454-458 - Wei Wang, Zeyu Ning, Hugues Nelson Iradukunda, Qingquan Zhang, Ting Zhu, Ping Yi:
MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning. 459-464 - Jin Heo, Ketan Bhardwaj, Ada Gavrilovska:
Poster: Enabling Flexible Edge-assisted XR. 465-467 - Kumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman:
Demo: OneOS - Middleware for Running Edge Computing Applications as Distributed POSIX Pipelines. 470-472
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