Model split-based data privacy protection method for federated learning by CHEN Ka

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Bovine and equine biomaterials in mandibular alveolar dog model: Split-mouth study by Willian Pecin Jacomacci, Angelo José Pavan, Jacqueline Nelisis Zanoni, Edevaldo Tadeu Camarini

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Analyzing the vulnerabilities in Split Federated Learning: assessing the robustness against data poisoning attacks by Aysha-Thahsin Zahir-Ismail, Raj Shukla

“…We conducted a series of attack experiments, varying the percentage of malicious clients and the model split layer between the clients and the server. …”
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Social environment and brain structure in adolescent mental health: A cross-sectional structural equation modelling study using IMAGEN data. by Jessica Stepanous, Luke Munford, Pamela Qualter, Tobias Banaschewski, Frauke Nees, Rebecca Elliott, IMAGEN Consortium

“…The current study addressed that gap by applying structural equation modelling to IMAGEN data from adolescents aged 14 years (n = 1950). A multi-group model split by sex was tested with the variables of socioeconomic stress, family support, peer problems, and brain structure as predictors, and emotional symptoms as the main outcome. …”
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Development of a Complex Network-Based Integrated Multilayer Urban Growth and Optimisation Model for an Efficient Urban Traffic Network by Rui Ding, Yilin Zhang, Ting Zhang, Can Ma

“…The innovation of this paper is the combination of the traffic complex multilayer networks and the “Four Step Model” (which stands for trip generation, trip distribution, model split, and traffic assignment steps). With the multiobjective, multilayer network coevolution and optimisation model, a more efficient traffic network layout was generated based on different land-use, population density, and travel speed scenarios. …”
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Simulation of Vertical Movements of Seawater in Stratified Reservoirs by N. V. Kudinov, A. A. Filina, A. V. Nikitina, D. V. Bondarenko, I. F. Razveeva

“…The authors were faced with the task of approximating each part of the hydrodynamic model split by physical processes with the most adequate scheme and further investigating the correctness of this approach.Materials and Methods. …”
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Privacy-Preserving Machine Learning (PPML) Inference for Clinically Actionable Models by Baris Balaban, Seyma Selcan Magara, Caglar Yilgor, Altug Yucekul, Ibrahim Obeid, Javier Pizones, Frank Kleinstueck, Francisco Javier Sanchez Perez-Grueso, Ferran Pellise, Ahmet Alanay, Erkay Savas, Cetin Bagci, Osman Ugur Sezerman

“…Third, we provide an in-depth analysis to check the inclusion of target model split points in substitute models with a heatmap. …”
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SMILES-based QSAR and molecular docking studies of chalcone analogues as potential anti-colon cancer by Abolfazl Askarzade, Shahin Ahmadi, Ali Almasirad

“…Among the developed models, Split #2 was identified as the best-performing model, with R2_validation = 0.90, IIC_validation = 0.81, and Q2_validation = 0.89. …”
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Effect of Organic and Bio-fertilizer on some growth and physiological indicators of chili pepper cultivars by Zeyad A. Shakir, Fouad A. Salman

“…The Randomized Complete Block Design (R.C.B.D) was used modeling Split-Plot system with three replications. The Duncan Multiples Range Test was adopted to compare the means at the probability level of 0.05. …”
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Puck 3D-based modeling and validation of progressive failure in instrumented glass fiber-reinforced polypropylene via the split-disk test by B. Meemary, D. Vasiukov, M. Lagardère, L. Rozova, S. Chaki

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Estimation of the air conditioning energy consumption of a classroom using machine learning in a tropical climate by Liliana Ortega-Diaz, Julian Jaramillo-Ibarra, German Osma-Pinto

“…Finally, it is concluded that using shorter time intervals (every 1 min) in the data improves the performance of the predictive models. Splitting the data into 80:20 and 90:10 ratios resulted in the lowest RMSE values for the three models evaluated. …”
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