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8th EDGE 2024: Shenzhen, China
- Rong N. Chang, Carl K. Chang, Jingwei Yang, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Nimanthi L. Atukorala, Hongyue Wu, Shiqiang Wang, Shuiguang Deng, Nirmit Desai, Gopal Pingali, Javid Taheri, K. V. Subramaniam, Feras M. Awaysheh, Kaoutar El Maghaouri, Yingjie Wang:
IEEE International Conference on Edge Computing and Communications, EDGE 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6849-9 - Norman Chen, Adel Nadjaran Toosi, Bahman Javadi, Daghash K. Alqahtani, Mohammad Sadegh Aslanpour, Minxian Xu:
An Empirical Study on Edge-to-Cloud Continuum for Smart Applications: Performance, Design Patterns, and Key Factors. 1-11 - Milad Rafiee, Amir Taherkordi, Özgü Alay:
Cross Network Layer Cognitive Service Orchestration in Edge Computing Systems. 12-21 - Ioannis Protogeros, Michalis Karamousadakis, Michail Rizakis, Antonios Porichis:
CargoSync: Efficient Containerd Image Updates in Low-Bandwidth Edge Environments with Rsync-based Delta Compression. 22-28 - Peixuan Song, JunKyu Lee, Ahmed M. Abdelmoniem, Lev Mukhanov:
Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service. 29-34 - Yuting Yang, Andrea Merlina, Weijia Song, Tiancheng Yuan, Ken Birman, Roman Vitenberg:
Navigator: A Decentralized Scheduler for Latency-Sensitive AI Workflows. 35-47 - Osama Abu Hamdan, Engin Arslan:
Reliable Network Performance for Edge Networks with QoS-Aware Adaptive Routing. 48-58 - Yuyang Huang, Faishal Zharfan, Hendrawan Hendrawan, Haryadi S. Gunawi, Junchen Jiang:
Concierge: Towards Accuracy-Driven Bandwidth Allocation for Video Analytics Applications in Edge Network. 59-66 - Ivan Cilic, Valentin Jukanovic, Ivana Podnar Zarko, Pantelis A. Frangoudis, Schahram Dustdar:
QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum. 67-73 - Osamah I. Alqaisi, Ali Saman Tosun, Turgay Korkmaz:
The Impact of GPU on Containerized Computer Vision Applications on Edge Nodes. 74-83 - Hao Liu, Mohammed E. Fouda, Ahmed M. Eltawil, Suhaib A. Fahmy:
Split DNN Inference for Exploiting Near-Edge Accelerators. 84-91 - Muhammad Syafiq Mohd Pozi, Yukinori Sato:
A Case for Deploying Dynamic Neural Network on Edge-Cloud Continuum Environment. 92-98 - Saeed Khalilian Gourtani, Vasileios Tsouvalas, Tanir Ozcelebi, Nirvana Meratnia:
FedCode: Communication-Efficient Federated Learning via Transferring Codebooks. 99-109 - Rakandhiya D. Rachmanto, Zaki Sukma, Ahmad N. L. Nabhaan, Arief Setyanto, Ting Jiang, In Kee Kim:
Characterizing Deep Learning Model Compression with Post-Training Quantization on Accelerated Edge Devices. 110-120 - Zhipeng Gao, Shu Yang, Xinlei Yu, Zijia Mo, Lanlan Rui, Yang Yang:
Classifier Reuse-Based Contrastive Knowledge Distillation. 121-127 - Boris Sedlak, Victor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar:
Markov Blanket Composition of SLOs. 128-138 - Sanaz Rabinia, Daniel Grosu:
Data Sharing-Aware Online Algorithms for Task Allocation in Edge Computing Systems. 139-148 - Mojtaba F. AlShams, Kamilya S. Smagulova, Suhaib A. Fahmy, Mohammed E. Fouda, Ahmed M. Eltawil:
DONNA: Distributed Optimized Neural Network Allocation on CIM-Based Heterogeneous Accelerators. 149-156 - Nicolas Shu, You Wang, Desmond Caulley, David V. Anderson:
SlimNet: A Lightweight Attentive Network for Speech-Music-Noise Classification and Voice Activity Detection. 157-161 - Hadjer Benmeziane, Kaoutar El Maghraoui:
Are Large Language Models Good Neural Architecture Generators for Edge? 162-165 - Arnold Caleb Asiimwe, William Das, Hadjer Benmeziane, Kaoutar El Maghraoui:
EfficientMedSAM: Accelerating Medical Image Segmentation via Neural Architecture Search and Knowledge Distillation. 166-173
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last updated on 2024-11-22 19:46 CET by the dblp team
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