75 citations · 78 across the 6 of their papers we have counts for
9 papers
AI/ML for mobile networks: Current status in Rel. 19 and challenges ahead
Yuan Gao, Xinyi Wu, Jun Jiang +6
The transformative power of artificial intelligence (AI) and machine learning (ML) is recognized as a key enabler for sixth generation (6G) mobile networks by both academia and ind…
Task-Oriented Real-time Visual Inference for IoVT Systems: A Co-design Framework of Neural Networks and Edge Deployment
Jiaqi Wu, Simin Chen, Zehua Wang +4
As the volume of image data grows, data-oriented cloud computing in Internet of Video Things (IoVT) systems encounters latency issues. Task-oriented edge computing addresses this b…
Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges
Qinqin Tang, F. Richard Yu, Renchao Xie +3
The Internet of intelligence is conceived as an emerging networking paradigm, which will make intelligence as easy to obtain as information. This paper provides an overview of the…
Robust Federated Learning with Noisy Communication
Fan Ang, Li Chen, Nan Zhao +3
Federated learning is a communication-efficient training process that alternates between local training at the edge devices and averaging the updated local model at the central ser…
From the Internet of Information to the Internet of Intelligence
F. Richard Yu
In the era of the Internet of information, we have gone through layering, cross-layer, and cross-system design paradigms. Recently, the ``curse of modeling" and ``curse of dimensio…
Computing and Communicating Functions in Disorganized Wireless Networks
Fangzhou Wu, Li Chen, Nan Zhao +3
For future wireless networks, enormous numbers of interconnections are required, creating a disorganized topology and leading to a great challenge in data aggregation. Instead of c…