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ORCID43rd ICDCS 2023: Hong Kong - Workshops
- 43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023 - Workshops, Hong Kong, July 18-21, 2023. IEEE 2023, ISBN 979-8-3503-2812-7
- Yanlang Zheng, Huan Zhou, Liang Zhao, Shouzhi Xu, Victor C. M. Leung:
Incentive-driven Federated Learning in Mobile Edge Networks. 1-6 - Cheng-Wei Ching
, Chirag Gupta, Zi Huang, Liting Hu:
OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework. 7-12 - Jun Nemoto, Hiroyuki Yamada:
The Case for Lazy Byzantine Fault Detection for Transactional Database Systems. 13-18 - Davide Basile, Claudio Di Ciccio, Valerio Goretti, Sabrina Kirrane:
A Blockchain-driven Architecture for Usage Control in Solid. 19-24 - Felix Kleinwort, Wolf Posdorfer, Janick Edinger:
Analyzing the Effect of Taproot on Bitcoin Deanonymization. 25-30 - Mengzhong Ma, Te Bao, Yonggang Wen:
Enhancing Portfolio Performance with Crypto Tokens: a Correlation Network Analysis. 31-36 - Álvaro Cartea, Fayçal Drissi, Marcello Monga:
Execution and Statistical Arbitrage with Signals in Multiple Automated Market Makers. 37-42 - Kaiyuan Tang, AoXuan Li, Su-Kit Tang:
Fully On-chain Cloud Storage DApp on the Internet Computer Protocol. 43-48 - AoXuan Li, Su-Kit Tang, Gabriele D'Angelo:
Implementation and preliminary evaluation of an auditable confidentiality mechanism for DeFi. 49-54 - Michele Bonini, Mirko Zichichi, Stefano Ferretti, Gabriele D'Angelo:
Proof of Location through a Blockchain Agnostic Smart Contract Language. 55-60 - Yunqi Zhang, Shaileshh Bojja Venkatakrishnan:
Rethinking Incentive in Payment Channel Networks. 61-66 - Viviana Arrigoni, Giuseppe Masi, Emanuele Mercanti, Novella Bartolini, Svitlana Vyetrenko:
Stock Shocks Modelling and Forecasting. 67-72 - Andreea-Elena Dragnoiu, Moritz Platt, Zixin Wang, Kyrie Zhixuan Zhou:
The More You Know: Energy Labelling Enables More Sustainable Cryptocurrency Investments. 73-78 - Liwei Chen, Xin Gao, Jingjing Qu, Lin Tang:
Embedding the Social Value in Algorithmic Innovation and Companies Competitiveness: Evidence from the food-delivery platforms in China. 79-84 - Hua Xuan Qin, Pan Hui:
Empowering the Metaverse with Generative AI: Survey and Future Directions. 85-90 - Yang Peng, Yupeng Xiao, Jingpu Duan, Xiaoxi Zhang, Weichao Li:
Emulating High-performance Networks with CNNet. 91-96 - Lexiong Huang, Ruihua Han, Guoliang Li, He Li, Shuai Wang, Yang Wang, Cheng-Zhong Xu:
iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning. 97-102 - Junhong Zhang, Jiangtian Nie, Jinbo Wen, Jiawen Kang, Minrui Xu, Xiaofeng Luo, Dusit Niyato:
Learning-based Incentive Mechanism for Task Freshness-aware Vehicular Twin Migration. 103-108 - Ahmad Alhilal, Kirill A. Shatilov, Gareth Tyson, Tristan Braud, Pan Hui:
Network Traffic in the Metaverse: The Case of Social VR. 109-114 - Zhuo Huang, Hanjing Wang, Xinrui Shi:
The Future of Work: Do We Need Interactive Collaborative Offices? The Most Interesting Survey in a Post-Covid World. 115-120 - Chao Wu, Yujia Li:
The Metaverse: Exploring the Convergence of Technologies and Social Dynamics. 121-126 - Chinh Tran, Mustafa Mehmet-Ali:
A Performance Modeling of Dynamic Vehicular Clouds: Job Completion Time of Concurrently Executed Tasks. 127-132 - Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate:
Decentralized Planning of Platoons in Road Transport using Reinforcement Learning. 133-138 - Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate:
Decentralized Platooning Optimization for Trucks: A MILP and ADMM-based Convex Approach to Minimize Latency and Energy Consumption. 139-144 - Cedric Bammens, Nina Slamnik-Krijestorac, Vincent Charpentier, Johann M. Márquez-Barja:
Enhancing Vehicular Systems through the Synergy between Visible Light Communication (VLC) and Radio Frequency (RF). 145-150 - Hao Wang, Huan Zhou, Liang Zhao, Xuxun Liu, Victor C. M. Leung:
Multi-Agent Deep Reinforcement Learning based Collaborative Computation Offloading in Vehicular Edge Networks. 151-156 - Jason Carpenter, Wei Ye, Feng Qian, Zhi-Li Zhang:
Multi-Modal Vehicle Data Delivery via Commercial 5G Mobile Networks: An Initial Study. 157-162 - Philipp Kisters, Tim Paul Bauer, Wolf Posdorfer, Janick Edinger:
Real-Time Traffic Congestion Detection for Driver-Centric Applications. 163-168
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