Subspace‐based distributed target detection method with small training data samples by Guangfen Wei, Zhan Zhou, Yuan Luo, Tao Jian, Xiaoming Tang

“…However, in practice, the complexity of the external environment makes the training data that satisfy the condition of independent homogeneous distribution less available. …”
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ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform by Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang

“…We propose an LDA training system named ZenLDA, which follows a generalized design for the distributed data-parallel platform. …”
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Application of distributed techniques in large language model training and inference by ZHENG Weimin

“…In the data preprocessing stage, an efficient big data processing engine called "Chukonu" was developed to address the issue of high overhead in reading data from distributed file systems. …”
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An Electronic System for Summer Training Students Distribution in Organizations with Comparative Study of Association Rule Algorithms by Anhar Khairualdeen Mohammed, Suhair Abid Dawood

“…In order to solve the problem of students distribution to organizations and guarantee the equivalency between students desires and the capacity of governmental and privates offices, some algorithms were used to mine up data to uncover essential hidden relationships with huge data, & Distributed Database has been designed for summer training . …”
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Personalized Privacy-Preserving Data Utilization Approach Powered by Distributed-GAN by Shuo Wang, Chao Wang, Tianshuo Dong, Yunhua He, Ke Xiao

“…Then with distributed ML architecture appearing, the training tasks can be completed without sharing data. …”
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Kernel Density Estimation: a novel tool for visualising training intensity distribution in biathlon by Craig A. Staunton, Craig A. Staunton, Andreas Kårström, Andreas Kårström, Hannes Kock, Hannes Kock, Marko S. Laaksonen, Glenn Björklund

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Bayesian Distributed Target Detectors in Compound-Gaussian Clutter Against Subspace Interference with Limited Training Data by Kun Xing, Zhiwen Cao, Weijian Liu, Ning Cui, Zhiyu Wang, Zhongjun Yu, Faxin Yu

“…Due to the clutter heterogeneity, the training data may be insufficient. To tackle this problem, the clutter speckle covariance matrix (CM) is assumed to obey the complex inverse Wishart distribution, and the Bayesian theory is utilized to obtain an effective estimation. …”
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A Reliable Application of MPC for Securing the Tri-Training Algorithm by Hendra Kurniawan, Masahiro Mambo

Subjects: “…Distributed data mining…”
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A snapshot of parallelism in distributed deep learning training by Hairol Romero-Sandí, Gabriel Núñez, Elvis Rojas

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Training intensity distribution of young elite soccer players by Thiago Oliveira Borges, Alexandre Moreira, Carlos Rogerio Thiengo, Rafael Gustavo Silva Duarte Medrado, Adriano Titton, Marcelo Rodrigues Lima, Alexandre Nunes Martins, Marcelo Saldanha Aoki

“…Mixed-effects modeling was used for data analysis. The athletes performed 33.0 ± 6.9 out of 40 planned training sessions. …”
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SpanTrain: a cross-domain distributed model training system for cloud-edge-end heterogeneous devices by WANG Jinquan, LIU Xuzhao, LIAO Xiaojian, XIAO Limin, HUO Zhisheng, SUO Jiashun, LI Yuntong, SHEN Runnan, XIE Xilong, TANG Xicheng

“…Expanding the deep neural network (DNN) training from cloud computing centers to the edge and end has significant advantages in aspects such as support for new application patterns, protection of data privacy, and control of training costs. …”
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Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks by Zan Zong, Minkun Guo, Mingshu Zhai, Yinan Tang, Jianjiang Li, Jidong Zhai

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Distributed Training Techniques for Intelligent Model in Space-Based Information Networks by LI Yuanjun, YANG Dewei, LI Jianing, FENG Xiao

“…In addressing the issues of data distribution heterogeneity, outdated models, and data privacy and security in distributed training of intelligent models, a federated learning architecture of intelligent models was designed based on blockchain technology and applied to space-based information networks. …”
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Data Poison Detection Schemes for Distributed Machine Learning by Yijin Chen, Yuming Mao, Haoyang Liang, Shui Yu, Yunkai Wei, Supeng Leng

“…Distributed machine learning (DML) can realize massive dataset training when no single node can work out the accurate results within an acceptable time. …”
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FedDAR: Federated Learning With Data-Quantity Aware Regularization for Heterogeneous Distributed Data by Youngjun Kwak, Minyoung Jung

“…This network-agnostic methodology reformulates the local training procedure by incorporating two crucial components: 1) enriched-feature augmentation, where features of the local model are coordinated with pre-initialized features to ensure unbiased-representations with efficient global communication rounds for unbalanced data distribution, and 2) data-quantity aware branch, which associates with local data size to improve the optimization of the local model using both supervised and self-supervised labels. …”
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Reported outcomes from a community naloxone training and distribution program by Kevin Frederiks, Maxwell Everett, Kristen Gilmore Powell, N. Andrew Peterson, Suzanne Borys, Donald K. Hallcom, Nina A. Cooperman

“…However, the increased availability of naloxone has saved many lives and led to the development of community-based naloxone training and distribution programs. We developed a naloxone education and distribution program in New Jersey in 2017. …”
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AI Services-Oriented Dynamic Computing Resource Scheduling Algorithm Based on Distributed Data Parallelism in Edge Computing Network of Smart Grid by Jing Zou, Peizhe Xin, Chang Wang, Heli Zhang, Lei Wei, Ying Wang

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Smart distributed data factory volunteer computing platform for active learning-driven molecular data acquisition by Tsolak Ghukasyan, Vahagn Altunyan, Aram Bughdaryan, Tigran Aghajanyan, Khachik Smbatyan, Garegin A. Papoian, Garik Petrosyan

“…Abstract This paper presents the smart distributed data factory (SDDF), an AI-driven distributed computing platform designed to address challenges in drug discovery by creating comprehensive datasets of molecular conformations and their properties. …”
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Differences in foot pressure distribution of males with and without basketball training in early adolescence by Nagihan Kırıkoğlu, Aylin Özge Pekel, Tülay Ceylan, Murat Eliöz, Belma Yavaşoğlu, Ayşegül Beykümül, Kemal Arda Kurt, Hande Yazıcıoğlu Çalışan, Cihan Baykal, Merve Karaman, Hayati Türkoğlu, Levent Ceylan

“…Background: In this study, the Rsscan V9 (RsScan International, Olen, Belçika) foot scanning system was used to determine the potential foot pressure distribution and foot contact times of individuals in early adolescence who did not receive sports training and those who received regular basketball training. …”
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Secure deep learning for distributed data against malicious central server. by Le Trieu Phong

“…Our system has the following two distinct features: (1) the distributed trainers can detect malicious activities in the server; (2) the distributed trainers can perform both vertical and horizontal neural network training. …”
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