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ORCIDNetAISys@MobiSys 2024: Minato-ku, Tokyo, Japan
- Proceedings of the 2nd International Workshop on Networked AI Systems, NetAISys 2024, Minato-ku, Tokyo, Japan, June 3-7, 2024. ACM 2024
- Linh Vu
, Wern Han Lim, Raphaël C.-W. Phan:
A Transformer-free signal encoding module for efficient networked AI systems. 1-6 - Mengjie Lee, Yujiao Hu, Yining Zhu, Xiaomao Zhou, Yue Zhao, Xingshe Zhou:
Learn to Update Digital Twins with Incremental Scenarios. 7-12 - Siya Chen, Chee-Wei Tan:
Neural Sum Rate Maximization for AI-Native Wireless Networks: Alternating Direction Method of Multipliers Framework and Algorithm Unrolling. 13-18 - Julián Jerónimo Bañuelos, Stephan Sigg, Jiayuan He, Flora D. Salim, José Costa-Requena:
Generating Multivariate Synthetic Time Series Data for Absent Sensors from Correlated Sources. 19-24 - Khan Reaz, Thibaud Ardoin, Lea R. Muth, Marian Margraf, Gerhard Wunder, Mahsa Kholghi, Kai Jansen, Christian T. Zenger, Julian Schmidt, Enrico Köppe, Zoran Utkovski, Igor Bjelakovic, Mathis Schmieder, Olaf Dressel:
Advancements in UWB: Paving the Way for Sovereign Data Networks in Healthcare Facilities. 25-30 - Pyeongjun Choi, Jeongsoo Kim, Jeongho Kwak:
Impact of Joint Heat and Memory Constraints of Mobile Device in Edge-Assisted On-Device Artificial Intelligence. 31-36
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