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20102026
most citedConvergence of Edge Computing and Deep Learning: A Comprehensive Survey

1.5k citations · 13.5k across the 438 of their papers we have counts for

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Showing 2024Show all

125 papers · 1 filter

cs.NI2024

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses

Xinru Wen, Jinbo Wen, Ming Xiao +5

Vehicular metaverses, blending traditional vehicular networks with metaverse technology, are expected to revolutionize fields such as autonomous driving. As virtual intelligent ass…

cs.NI2024★ 1 cited

Embodied AI-empowered Low Altitude Economy: Integrated Sensing, Communications, Computation, and Control (ISC3)

Yaoqi Yang, Yong Chen, Jiacheng Wang +2

Low altitude economy (LAE) holds immense potential to drive urban development across various sectors. However, LAE also faces challenges in data collection and processing efficienc…

cs.NI2024

Retrieval-augmented Generation for GenAI-enabled Semantic Communications

Shunpu Tang, Ruichen Zhang, Yuxuan Yan +4

Semantic communication (SemCom) is an emerging paradigm aiming at transmitting only task-relevant semantic information to the receiver, which can significantly improve communicatio…

eess.SP2024

Energy-Efficient RIS-Aided Cell-Free Massive MIMO Systems: Application, Opportunities, and Challenges

Yu Lu, Jiayi Zhang, Enyu Shi +4

Reconfigurable intelligent surfaces (RIS)-assisted cell-free massive multiple-input multiple-output (CF mMIMO) systems have emerged as a promising technology for sixth-generation c…

cs.CR2024

Preventing Non-intrusive Load Monitoring Privacy Invasion: A Precise Adversarial Attack Scheme for Networked Smart Meters

Jialing He, Jiacheng Wang, Ning Wang +4

Smart grid, through networked smart meters employing the non-intrusive load monitoring (NILM) technique, can considerably discern the usage patterns of residential appliances. Howe…

cs.CL2024

Adaptive Pruning for Large Language Models with Structural Importance Awareness

Haotian Zheng, Jinke Ren, Yushan Sun +6

The recent advancements in large language models (LLMs) have significantly improved language understanding and generation capabilities. However, it is difficult to deploy LLMs on r…