Search Results for author: F. Richard Yu

Found 13 papers, 1 papers with code

Empowering Computing and Networks Convergence System with Distributed Cooperative Routing

no code implementations4 Feb 2024 Yujiao Hu, Qingmin Jia, Meng Shen, Renchao Xie, Tao Huang, F. Richard Yu

The cross-plane cooperative end-to-end routing schemes consider both computation efficiency of heterogeneous servers and the network congestion degrees while making routing plan, thereby determining where to execute requests and corresponding routing paths.

Management Scheduling

CoRaiS: Lightweight Real-Time Scheduler for Multi-Edge Cooperative Computing

no code implementations4 Feb 2024 Yujiao Hu, Qingmin Jia, Jinchao Chen, Yuan YAO, Yan Pan, Renchao Xie, F. Richard Yu

CoRaiS embeds the real-time states of multi-edge system and requests information, and combines the embeddings with a policy network to schedule the requests, so that the response time of all requests can be minimized.

Edge-computing Scheduling

RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks

1 code implementation17 Jan 2024 Haowen Hou, F. Richard Yu

The combination of competitive performance, low latency, and efficient memory usage positions RWKV-TS as a promising avenue for future research in time series tasks.

Computational Efficiency Time Series +1

Joint User Association, Interference Cancellation and Power Control for Multi-IRS Assisted UAV Communications

no code implementations8 Dec 2023 Zhaolong Ning, Hao Hu, Xiaojie Wang, Qingqing Wu, Chau Yuen, F. Richard Yu, Yan Zhang

To address the aforementioned challenges, we propose a new optimization algorithm for joint IRS-user association, trajectory optimization of UAVs, successive interference cancellation (SIC) decoding order scheduling and power allocation to maximize system energy efficiency.

Q-Learning Scheduling

Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review

no code implementations2 Dec 2023 Yujiao Hu, Qingmin Jia, Yuao Yao, Yong Lee, Mengjie Lee, Chenyi Wang, Xiaomao Zhou, Renchao Xie, F. Richard Yu

IIoT intelligence, which can provide innovative and efficient solutions for various aspects of the manufacturing value chain, illuminates the path of transformation for the manufacturing industry.

A Survey of Adversarial CAPTCHAs on its History, Classification and Generation

no code implementations22 Nov 2023 Zisheng Xu, Qiao Yan, F. Richard Yu, Victor C. M. Leung

The discovery of adversarial examples provides an ideal solution to the security and usability trade-off by integrating adversarial examples and CAPTCHAs to generate adversarial CAPTCHAs that can fool the deep models.

Beyond Reality: The Pivotal Role of Generative AI in the Metaverse

no code implementations28 Jul 2023 Vinay Chamola, Gaurang Bansal, Tridib Kumar Das, Vikas Hassija, Naga Siva Sai Reddy, Jiacheng Wang, Sherali Zeadally, Amir Hussain, F. Richard Yu, Mohsen Guizani, Dusit Niyato

This paper offers a comprehensive exploration of how generative AI technologies are shaping the Metaverse, transforming it into a dynamic, immersive, and interactive virtual world.

Image Generation Text Generation

RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models

no code implementations9 Jun 2023 Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li

The emergence of Neural Radiance Fields (NeRF) has promoted the development of synthesized high-fidelity views of the intricate real world.

Diversity

Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks

no code implementations17 Feb 2023 Gang Hu, Yinglei Teng, Nan Wang, F. Richard Yu

Federated Learning (FL) is a novel distributed machine learning approach to leverage data from Internet of Things (IoT) devices while maintaining data privacy.

Clustering Federated Learning +1

Cramér-Rao Bounds of Near-Field Positioning Based on Electromagnetic Propagation Model

no code implementations2 Jul 2022 Ang Chen, Li Chen, Yunfei Chen, Changsheng You, Guo Wei, F. Richard Yu

In this paper, we improve the near-field positioning technology from the classical spherical wavefront model (SWM) to the more accurate and true electromagnetic propagation model (EPM).

Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems

no code implementations21 Dec 2021 Xu Kang, Bin Song, Jie Guo, Zhijin Qin, F. Richard Yu

The vigorous developments of Internet of Things make it possible to extend its computing and storage capabilities to computing tasks in the aerial system with collaboration of cloud and edge, especially for artificial intelligence (AI) tasks based on deep learning (DL).

Classification Edge-computing +1

Robust Federated Learning with Noisy Communication

no code implementations1 Nov 2019 Fan Ang, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, F. Richard Yu

Nevertheless, it is impractical to achieve a perfect acquisition of the local models in wireless communication due to noise, which also brings serious effects on federated learning.

Federated Learning Robust Design

From the Internet of Information to the Internet of Intelligence

no code implementations30 Aug 2019 F. Richard Yu

In the era of the Internet of information, we have gone through layering, cross-layer, and cross-system design paradigms.

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