Highly efficient compact verifiable shuffle scheme based on QA-NIZK proof by Xiao-gang CHENG, Jian WANG, Yong-hong CHEN

“…To protect the privacy of voters in e-voting,votes should be shuffled by a series of mix servers.To guarantee the honesty of mix servers,verifiable shuffle scheme was needed.However the proof size of existed CVS (compact veri-fiable shuffle) scheme was dependent on the number of mix servers and the number of voters,which could be very ineffi-cient when there were lots of mix servers and voters.A new CVS scheme was presented with the proof size of only O(1),i.e.constant no matter how many mix servers and voters were involved.The construction is based on an efficient proof system QA-NIZK (quasi-adaptive non-interactive zero knowledge) presented recently.It also points out that the QA-NIZK proof system is malleable,which is of independent interest.…”
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Fedrtid: an efficient shuffle federated learning via random participation and adaptive time constraint by Qiantao Yang, Xuehui Du, Xiangyu Wu, Wenjuan Wang, Aodi Liu, Shihao Wang

“…However, with the frequent interaction of model parameters between the client and the server, the client will consume a large amount of network and arithmetic resources, and resource-constrained clients can hardly maintain model security while ensuring the efficiency of collaborative user training. Therefore, we propose FedRtid, a shuffle differential privacy federated learning scheme with random participation and adaptive time constraints, to improve the efficiency of collaborative user training while considering model privacy. …”
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Advancements in Coded Computation: Integrating Encoding Matrices with Data Shuffling for Enhanced Data Transmission Efficiency by Yuan Shijie

“…This paper analyzes various data shuffling methods, their integration with encoding matrices, and their impact on computational efficiency and data transmission. …”
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Lightweight Models for Real-Time Steganalysis: A Comparison of MobileNet, ShuffleNet, and EfficientNet by Achmad Bauravindah, Dhomas Hatta Fudholi

“…This research evaluates MobileNet, ShuffleNet, and EfficientNet for such tasks, using the BOSSbase-1.01 dataset. …”
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DMM-YOLO: A high efficiency soil fauna detection model based on an adaptive dynamic shuffle mechanism by Jiehui Ke, Renbo Luo, Guoliang Xu, Yuna Tan, Zhifeng Wu, Liufeng Xiao

“…First, a dynamic local shuffle module (DLSConv) is proposed, which utilizes convolutions and adaptive shuffling, effectively enhancing information interaction and feature richness. …”
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Efficient Task Scheduling Approach in Edge-Cloud Continuum based on Flower Pollination and Improved Shuffled Frog Leaping Algorithm by Nasiru Muhammad Dankolo Dankolo, Nor Haizan Mohamed Radzi, Noorfa Haszlinna Mustaffa, Mohd Shukor Talib, Zuriahati Mohd Yunos, Danlami Gabi

“…Therefore, there is a dire need for an efficient metaheuristic algorithm for task scheduling.  …”
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Towards Efficient Serverless MapReduce Computing on Cloud-Native Platforms by Xu Huang, Rong Gu, Yihua Huang

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An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled secure E-healthcare framework by Dhivya Ravichandran, W. Sylvia Lilly Jebarani, Hemalatha Mahalingam, Padmapriya Velupillai Meikandan, Padmapriya Pravinkumar, Rengarajan Amirtharajan

“…The CCS generates the chaotic key sequences to shuffle the medical image row-wise and column-wise. …”
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Efficient reduction of peak-to-average power ratio in multiple-input multiple-output orthogonal frequency-division multiplexing system by shuffling cluster sequences by Si Sar Mi, Tanairat Mata, Pornpawit Boonsrimuang, Pisit Boonsrimuang

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Design of shuffling protocol based on additive secret sharing by ZHANG Yanshuo, MAN Ziqi, ZHOU Xingyu, YANG Yatao, HU Ronglei

“…The shuffling task was decomposed into multiple sub-tasks by the Benes arrangement network, which improved the efficiency of large-scale data sets. …”
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Rock image classification based on improved EfficientNet by Kai Bai, Zhaoshuo Zhang, Siyi Jin, Shengsheng Dai

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Image encryption scheme based on thorp shuffle and pseudo dequeue by Shengtao Geng, Danlei Guo, Xuncai Zhang, Yanfeng Wang, Ying Niu

“…The results show that the algorithm proposed in this paper has high encryption efficiency and security and performs excellently in terms of anti-attack performance.…”
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LENet: A Lightweight and Efficient High-Resolution Network for Human Pose Estimation by Ming Zhang, Xiandong Yu, Wenqiang Li, Xin Shu, Lei Pan, Zhongwei Shen

“…We design two blocks, Recursive Fusion Block (RFB) and Deep Shuffle Block (DSB), to construct the model architecture. …”
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Spiking Residual ShuffleNet-Based Intrusion Detection in IoT Environment by Sneha Leela Jacob, H. Parveen Sultana

“…After detecting an intrusion, an attack is mitigated to eliminate the malicious node. The SR-ShuffleNet model achieves impressive accuracy and efficiency in identifying and mitigating attacks in IoT systems.…”
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Enhancing Distributed Machine Learning through Data Shuffling: Techniques, Challenges, and Implications by Zhang Zikai

“…In distributed machine learning, data shuffling is a crucial data preprocessing technique that significantly impacts the efficiency and performance of model training. …”
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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…The second track involves the Efficient Multi-Scale Attention-Driven Network (EMADN), which leverages Light-weight Multi-scale Deformable Shuffle (LMDS) and Global Dilated Attention (GDA) blocks to extract local features efficiently. …”
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Grading Algorithm for Orah Sorting Line Based on Improved ShuffleNet V2 by Yifan Bu, Hao Liu, Hongda Li, Bryan Gilbert Murengami, Xingwang Wang, Xueyong Chen

“…Experimental results show that the ShuffleNet_wogan model achieved an accuracy of 91.12%, a 3.92% improvement compared to the original ShuffleNet V2 network. …”
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Multi group merging algorithm for solving data Shuffle and data skew of securities companies by CAO Yakun, TANG Xiaoyong

“…However, the vast scale and complexity of user data securities companies led to significant Shuffle operations and data skew issues in big data computations. …”
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Coefficient-Shuffled Variable Block Compressed Sensing for Medical Image Compression in Telemedicine Systems by R Monika, Samiappan Dhanalakshmi, Narayanamoorthi Rajamanickam, Amr Yousef, Roobaea Alroobaea

“…By ensuring faster data acquisition and reduced redundancy, CSEM-VBCS significantly enhances the efficiency of remote patient monitoring and diagnosis.…”
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Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion by Tursun Mamat, Abdukeram Dolkun, Runchang He, Yonghui Zhang, Zulipapar Nigat, Hanchen Du

“…Consequently, we propose the shuffle attention for you only look once version eight (SA-YOLOv8) model, which is based on an enhanced framework. …”
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