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ORCID7th SEC 2022: Seattle, WA, USA
- 7th IEEE/ACM Symposium on Edge Computing, SEC 2022, Seattle, WA, USA, December 5-8, 2022. IEEE 2022, ISBN 978-1-6654-8611-8
- Hongyu Miao, Felix Xiaozhu Lin:
Towards Out-of-core Neural Networks on Microcontrollers. 1-13 - Nitish Satya Murthy, Peter Vrancx, Nathan Laubeuf, Peter Debacker, Francky Catthoor, Marian Verhelst
:
Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge. 14-25 - Manasvini Sethuraman, Anirudh Sarma, Adwait Bauskar, Ashutosh Dhekne, Umakishore Ramachandran:
ClairvoyantEdge: Prescient Prefetching of On-demand Video at the Edge of the Network. 26-39 - Brian Ramprasad, Pritish Mishra, Myles Thiessen, Hongkai Chen, Alexandre da Silva Veith, Moshe Gabel, Oana Balmau, Abelard Chow, Eyal de Lara:
Shepherd: Seamless Stream Processing on the Edge. 40-53 - Jin Heo, Christopher Phillips, Ada Gavrilovska:
FLiCR: A Fast and Lightweight LiDAR Point Cloud Compression Based on Lossy RI. 54-67 - Jayson Boubin, Codi Burley, Peida Han, Bowen Li, Barry Porter, Christopher Stewart:
MARbLE: Multi-Agent Reinforcement Learning at the Edge for Digital Agriculture. 68-81 - Nabeel Nasir, Victor Ariel Leal Sobral, Li-Pang Huang, Bradford Campbell:
NexusEdge: Leveraging IoT Gateways for a Decentralized Edge Computing Platform. 82-95 - Chang Liu, Terence Jie Chua, Jun Zhao:
Time Minimization in Hierarchical Federated Learning. 96-106 - Hazem A. Abdelhafez, Hassan Halawa, Amr Almoallim, Amirhossein Ahmadi, Karthik Pattabiraman, Matei Ripeanu:
Characterizing Variability in Heterogeneous Edge Systems: A Methodology & Case Study. 107-121 - Hyunjong Lee, Shadi A. Noghabi, Brian Noble, Matthew Furlong, Landon P. Cox:
BumbleBee: Application-aware adaptation for edge-cloud orchestration. 122-135 - Florian Brandherm, Julien Gedeon, Osama Abboud, Max Mühlhäuser:
BigMEC: Scalable Service Migration for Mobile Edge Computing. 136-148 - Mingjin Zhang, Jiannong Cao, Lei Yang, Liang Zhang, Yuvraj Sahni, Shan Jiang:
ENTS: An Edge-native Task Scheduling System for Collaborative Edge Computing. 149-161 - Rui Lu, Chuang Hu, Dan Wang, Jin Zhang:
Gemini: a Real-time Video Analytics System with Dual Computing Resource Control. 162-174 - Rui Lu, Siping Shi, Dan Wang, Chuang Hu, Bihai Zhang:
Preva: Protecting Inference Privacy through Policy-based Video-frame Transformation. 175-188 - Tiantu Xu, Kaiwen Shen, Yang Fu, Humphrey Shi, Felix Xiaozhu Lin:
Rev: A Video Engine for Object Re-identification at the City Scale. 189-202 - Jiaqi Yin, Zhiru Zhang, Cunxi Yu:
Exact Memory- and Communication-aware Scheduling of DNNs on Pipelined Edge TPUs. 203-215 - Mengwei Xu, Li Zhang, Shangguang Wang:
Position Paper: Renovating Edge Servers with ARM SoCs. 216-223 - Md. Sadun Haq, Ali Saman Tosun, Turgay Korkmaz:
Security Analysis of Docker Containers for ARM Architecture. 224-236 - Valentin Rakovic, Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska, Liljana Gavrilovska:
ShapeShifter: Resolving the Hidden Latency Contention Problem in MEC. 237-251 - Ali Rahmanian, Ahmed Ali-Eldin, Björn Skubic, Erik Elmroth:
MicroSplit: Efficient Splitting of Microservices on Edge Clouds. 252-264 - Adam Hall, Umakishore Ramachandran:
Opportunities for Optimizing the Container Runtime. 265-276 - Seyhan Ucar, Hao Yang, Kentaro Oguchi:
Poster: Distracted Driving Management. 277-278 - Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Demo: Nearby Aggressive Driving Detection. 279-280 - Yueyang Liu, Haoxin Wang, Zhipeng Cai, Dawei Chen, Kyungtae Han:
Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing. 281-283 - Yalong Wu, Kewei Sha, Kwok-Bun Yue:
Poster: Blockchain-Enabled Federated Edge Learning for Big Data Quality Assessment. 284-285 - Alperen Kalay, Alparslan Fisne:
Poster: Edge Computing for Deep Learning-based Sensor Multi-Target Detection. 286-288 - Slawomir Matelski:
Demo: Human-Computable One-Time Passwords. 289-290 - Hui Sun, Yiru Chen, Kewei Sha, Yalong Wu:
Poster: Ensemble Federated Edge Learning for Recommender Systems. 291-292 - Jin Heo, Gregoire Phillips, Per-Erik Brodin, Ada Gavrilovska:
Poster: Making Edge-assisted LiDAR Perceptions Robust to Lossy Point Cloud Compression. 293-295 - Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska:
Poster: Fine-grained Control Plane Container Profiler for MEC. 296-298 - Prabhjot Kaur, Weisong Shi:
Poster: Autonomous mobile robot for indoor enhanced living. 299-301 - Kumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman:
Poster: EdgeShell - A language for composing edge applications. 302-304 - Sidi Lu, Weisong Shi:
Poster: Towards Efficient Multilayer Collaboration for CAV Applications. 305-306 - Jindi Wu, Qun Li:
Poster: Scalable Quantum Convolutional Neural Networks for Edge Computing. 307-309 - Zhengyong Ren, Yuxin Yang, Kambiz Ghazinour, Sara Bayramzadeh, Qiang Guan:
Demo: A Multi-Perspective Video Streaming System with Privacy Preservation in Trauma Room. 310-312 - Gaurav Bagwe, Jian Li, Xiaoheng Deng, Xiaoyong Yuan, Lan Zhang:
Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning. 313-315 - Wenkai Li, Théo Gueuret, Beiyu Lin:
Poster: SlideCNN: Deep Learning for Auditory Spatial Scenes with Limited Annotated Data. 316-317 - Cicelia Siu, Beiyu Lin:
Poster: Imitation Learning for Hearing Loss Detection with Cortical Speech-Evoked Responses. 318-319 - Louis Barbier, Beiyu Lin:
Poster: Unsupervised Learning for Extreme Space Weather Detection based on Spectrograms. 320-321 - Vishnu Narayanan Moothedath:
Energy-Optimal Sampling for Edge Computing Feedback Systems: Aperiodic Case. 322-328 - Josh Minor:
ML-ACE: Machine Learning Admission Control at the Edge. 329-335 - Alessio Mora, Davide Fantini, Paolo Bellavista:
Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation. 336-341 - Dewant Katare, Nicolas Kourtellis, Souneil Park, Diego Perino, Marijn Janssen, Aaron Yi Ding:
Bias Detection and Generalization in AI Algorithms on Edge for Autonomous Driving. 342-348 - Matteo Mendula, Paolo Bellavista:
Energy-aware Edge Federated Learning for Enhanced Reliability and Sustainability. 349-354 - Aaranya Alexander, Dominic Widdows:
Quantum Text Encoding for Classification Tasks. 355-361 - Utkarsh Azad, Helena Zhang:
Machine Learning based Discrimination for Excited State Promoted Readout. 362-367 - Samuel Alexander Stein, Ying Mao, James Andrew Ang, Ang Li:
QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation. 368-374 - Mohammadhossein Mohammadisiahroudi, Zeguan Wu, Brandon Augustino, Tamás Terlaky, Arielle Carr:
Quantum-enhanced Regression Analysis Using State-of-the-art QLSAs and QIPMs. 375-380 - Hanjing Xu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh:
Scaling Vehicle Routing Problem Solvers with QUBO-based Specialized Hardware. 381-386 - Bernardo Ameneyro, George Siopsis, Vasileios Maroulas:
Quantum Persistent Homology for Time Series. 387-392 - Catherine C. McGeoch, Pau Farré:
Milestones on the Quantum Utility Highway. 393-399 - Hansheng Jiang, Zuo-Jun Max Shen, Junyu Liu:
Quantum Computing Methods for Supply Chain Management. 400-405 - Sahil Gulania, Zichang He, Bo Peng, Niranjan Govind, Yuri Alexeev:
QuYBE - An Algebraic Compiler for Quantum Circuit Compression. 406-410 - Hyeongrak Choi, Marc Grau Davis, Dirk R. Englund:
Congestion-free Multiflow Quantum Tree Network with Logarithmic Overhead. 411-413 - Kaiyan Shi, Rebekah Herrman, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Jeffrey Larson:
Multiangle QAOA Does Not Always Need All Its Angles. 414-419 - Dominic Pasquali:
Classification With Unimodular Matrices In Hybrid Models. 420-425 - Florian Rehm, Sofia Vallecorsa, Michele Grossi, Kerstin Borras, Dirk Krücker, Schnake Simon, Alexis-Harilaos Verney-Provatas:
Quantum Angle Generator for Image Generation. 425-429 - Kostas Blekos, Dimitrios I. Kosmopoulos:
Quantum Data Reduction with Application to Video Classification. 430-435 - Thomas Mullor, David Vigouroux, Louis Béthune:
Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning. 436-443 - Ankit Khandelwal, M. Girish Chandra, Sayantan Pramanik:
On Classifying Images using Quantum Image Representation. 444-449 - Sayantan Pramanik, M. Girish Chandra, C. V. Sridhar, Aniket Kulkarni, Prabin R. Sahoo, Chethan D. V. Vishwa, Hrishikesh Sharma, Vidyut Navelkar, Sudhakara Poojary, Pranav Shah, Manoj Nambiar:
A Quantum-Classical Hybrid Method for Image Classification and Segmentation. 450-455 - Mainak Bhattacharyya, Ankur Raina:
A quantum algorithm for syndrome decoding of classical error-correcting linear block codes. 456-461 - Utso Majumder, Aditya Das Sarma, Vishnu Vaidya, M. Girish Chandra:
On Quantum-Enhanced LDPC Decoding for Rayleigh Fading Channels. 462-467 - Zsolt Tabi, Bence Bakó, Dániel T. R. Nagy, Péter Vaderna, Zsófia Kallus, Péter Hága, Zoltán Zimborás:
Hybrid Quantum-Classical Autoencoders for End-to-End Radio Communication. 468-473 - Lu Li, Xufeng Jiang, Ge Gao:
Secure KNN Set Similarity Search in Outsourced Cloud Environments. 474-479 - Jian Zhao, Wenqian Qiang, Zisong Zhao, Tianbo An, Zhejun Kuang, Dawei Xu, Lijuan Shi:
Research on Medical Data Storage and Sharing Model Based on Blockchain. 480-485 - Xia'nan Zhao, Dongsheng Wang:
Privacy-Preserving Public Auditing for Shared Data in Mobile Cloud Storage. 486-491 - Jingnan Huang, Yuchuan Luo, Ming Xu, Shaojing Fu, Kai Huang:
Accelerating Privacy-Preserving Image Retrieval with Multi-Index Hashing. 492-497 - Bin Huang, Yanhui Du:
Discovering Onion Services Through Circuit Fingerprinting Attacks. 498-503 - Mozhgan Navardi, Edward Humes, Tinoosh Mohsenin:
E2EdgeAI: Energy-Efficient Edge Computing for Deployment of Vision-Based DNNs on Autonomous Tiny Drones. 504-509 - Lewis CL Brown, Qinghua Li:
Privacy-Preserving and Secure Divide-and-Conquer Learning. 510-515 - Alex Xie, Yang Peng:
Improving the Quality of Inference for Applications using Chained DNN Models during Edge Server Handover. 516-520 - Kang Jun Bai, Yang Yi:
Diagnosing Clinical Diseases using an Edge-Enabled Deep Learning Technology. 521-525 - Ramashish Gaurav, Terrence C. Stewart, Yang Cindy Yi:
Spiking Reservoir Computing for Temporal Edge Intelligence on Loihi. 526-530 - Yongtao Yao, Bin Liu, Yiwei Zhao, Weisong Shi:
Towards Edge-enabled Distributed Computing Framework for Heterogeneous Android-based Devices. 531-536
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