Search Results - "2021 IEEE/ACM Symposium on Edge Computing (SEC)"

LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning by Li, Ang, Sun, Jingwei, Wang, Binghui, Duan, Lin, Li, Sicheng, Chen, Yiran, Li, Hai

“…With the proliferation of mobile computing and Internet of Things (IoT), massive mobile and IoT devices are connected to the Internet. These devices are…”
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Towards Performance Clarity of Edge Video Analytics by Xiao, Zhujun, Xia, Zhengxu, Zheng, Haitao, Zhao, Ben Y., Jiang, Junchen

“…Edge video analytics is becoming the solution to many safety and management tasks. Its wide deployment, however, must first address the tension between…”
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Edge-Assisted Collaborative Perception in Autonomous Driving: A Reflection on Communication Design by Yu, Ruozhou, Yang, Dejun, Zhang, Hao

“…Collaborative perception enables autonomous driving vehicles to share sensing or perception data via broadcast-based vehicle-to-everything (V2X) communication…”
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Message from the Program Co-Chairs

“…Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the…”
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Message from the General Co-Chairs

“…Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the…”
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Collaborative Cloud-Edge-Local Computation Offloading for Multi-Component Applications by Gholami, Anousheh, Baras, John S.

“…With the explosion of intelligent and latency-sensitive applications such as AR/VR, remote health and autonomous driving, mobile edge computing (MEC) has…”
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DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge by Yang, Zhe, Nahrstedt, Klara, Guo, Hongpeng, Zhou, Qian

“…The ubiquity of smartphone cameras and IoT cameras, together with the recent boom of deep learning and deep neural networks, proliferate various computer…”
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AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems by Paul, Sibendu, Drolia, Utsav, Hu, Y. Charlie, Chakradhar, Srimat T.

“…Millions of cameras at edge are being deployed to power a variety of different deep learning applications. However, the frames captured by these cameras are…”
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SecureFL: Privacy Preserving Federated Learning with SGX and TrustZone by Kuznetsov, Eugene, Chen, Yitao, Zhao, Ming

“…Federated learning allows a large group of edge workers to collaboratively train a shared model without revealing their local data. It has become a powerful…”
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AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics by Kumar, Dhruv, Ahmad, Sohaib, Chandra, Abhishek, Sitaraman, Ramesh K.

“…Large-scale real-time analytics services continuously collect and analyze data from end-user applications and devices distributed around the globe. Such…”
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Industrial Edge-based Cyber-Physical Systems - Application Needs and Concerns for Realization by Torngren, Martin, Thompson, Haydn, Herzog, Erik, Inam, Rafia, Gross, James, Dan, Gyorgy

“…Industry is moving towards advanced Cyber-Physical Systems (CPS), with trends in smartness, automation, connectivity and collaboration. We examine the drivers…”
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Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints by Chakrabarti, Ayan, Guerin, Roch, Lu, Chenyang, Liu, Jiangnan

“…We consider an edge-computing setting where machine learning-based algorithms are used for real-time classification of inputs acquired by devices, e.g.,…”
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Microservice-based Edge Device Architecture for Video Analytics by Jang, Si Young, Kostadinov, Boyan, Lee, Dongman

“…With today's ubiquitous deployment of video cameras and other edge devices, progress in edge computing is happening at an incredible speed. Yet, one aspect of…”
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Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications by Kwon, Young D., Chauhan, Jagmohan, Kumar, Abhishek, HKUST, Pan Hui, Mascolo, Cecilia

“…Continual learning approaches help deep neural network models adapt and learn incrementally by trying to solve catastrophic forgetting. However, whether these…”
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Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics by Li, Zhuqi, Shu, Yuanchao, Ananthanarayanan, Ganesh, Shangguan, Longfei, Jamieson, Kyle, Bahl, Paramvir

“…Massive video analytics systems, comprised of many densely-deployed cameras and supporting edge servers, are driving innovation in many areas including smart…”
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The Performance Argument for Blockchain-based Edge DNS Caching by Choncholas, James, Bhardwaj, Ketan, Gavrilovska, Ada

“…The Domain Name System (DNS,) a standard way of looking up IP addresses of Internet services, has served the Internet ecosystem well. However with the advent…”
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OneOS: Middleware for Running Edge Computing Applications as Distributed POSIX Pipelines by Jung, Kumseok, Gascon-Samson, Julien, Pattabiraman, Karthik

“…Edge computing application developers often need to employ a combination of software tools in order to deal with the challenges of heterogeneity and network…”
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Will They or Won't They?: Toward Effective Prediction of Watch Behavior for Time-Shifted Edge-Caching of Netflix Series Videos by Lall, Shruti, Sivakumar, Raghupathy

“…Internet traffic load is not uniformly distributed through the day; it is significantly higher during peak-periods, and comparatively idle during off-peak…”
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iBranchy: An Accelerated Edge Inference Platform for loT Devices by Nukavarapu, Santosh Kumar, Ayyat, Mohammed, Nadeem, Tamer

“…With the phenomenal growth of IoT devices at the network edge, many new applications have emerged, including remote health monitoring, augmented reality, and…”
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You Can Enjoy Augmented Reality While Running Around: An Edge-based Mobile AR System by Wang, Haoxin, Xie, Jiang

“…Edge computing is proposed to be a promising paradigm to bridge the gap between the stringent computation requirement of realtime mobile augmented reality…”
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