Plastic forms of architecture in Dynamo-Revit and GrasshopperRhino-Archicad by K. A. Shumilov, Yu. A. Guryeva

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KiFramework — A Federated Learning Platform with an Innovative Communication Protocol by Jakub Michalek, Vaclav Oujezsky, Vladislav Skorpil

“…This framework focuses on solving client communication problems during the federated learning process. KiFramework introduces an innovative communication protocol and framework that enhances data exchange reliability and supports efficient collaboration in multi-server environments, addressing key challenges in traditional centralized server architectures. …”
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A Credit Card Fraud Detection Algorithm Based on SDT and Federated Learning by Yuxuan Tang, Zhanjun Liu

“…Second, addressing the complex financial environment and concerns about financial data privacy, we introduce a federated learning architecture to deploy the SDT model across different banks in a distributed manner. …”
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Changing needs and demand of clients vs ability to pay in architectural industry by Emeka J. Mba, Francis O. Okeke, Ajuluchukwu E. Igwe, Obas J. Ebohon, Foluso C. Awe

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Application of Federal Kalman Filter with Neural Networks in the Velocity and Attitude Matching of Transfer Alignment by Lijun Song, Zhongxing Duan, Bo He, Zhe Li

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RETRACTED: Regulatory frameworks for sustainable entrepreneurship in the arctic: Environmental law and policy in the Russian Federation by Churilov Aleksei

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The Architecture of Traditional and Modern Afghan Houses and the Fundamentalist Regime: Impacts on Women's Lives by Sayed Abdul Basir Samimi, Artur Simões Rozestraten, Júnia Aparecida Laia da Mata

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Real world federated learning with a knowledge distilled transformer for cardiac CT imaging by Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt

“…Abstract Federated learning is a renowned technique for utilizing decentralized data while preserving privacy. …”
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CS-FL: Cross-Zone Secure Federated Learning with Blockchain and a Credibility Mechanism by Chongzhen Zhang, Hongye Sun, Zhaoyu Shen, Dongyu Wang

“…Federated learning enables multiple intelligent devices to collaboratively perform machine learning tasks while preserving local data privacy. …”
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Building a digital consulting architecture for small and medium-sized businesses in Russia by V.E. Kovalev, E.A. Antineskul, A.I. Solareva

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About the Medieval Bulgar-Tatar Architectural Tradition (in the case of Golden Horde Mausoleums) by Valeeva-Suleimanova G.F.

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Enhancing Channel Selection in 5G with Decentralized Federated Multi-Agent Deep Reinforcement Learning by Taghi Shahgholi, Keyhan Khamforoosh, Amir Sheikhahmadi, Sadoon Azizi

“…Simultaneously, a centralized architecture coordinates nearby vehicles to optimize overall system performance. …”
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A reliable and privacy-preserved federated learning framework for real-time smoking prediction in healthcare by Siddhesh Fuladi, D. Ruby, N. Manikandan, Animesh Verma, M. K. Nallakaruppan, Shitharth Selvarajan, Shitharth Selvarajan, Shitharth Selvarajan, Preeti Meena, V. P. Meena, Ibrahim A. Hameed

“…The ever-evolving domain of machine learning has witnessed significant advancements with the advent of federated learning, a paradigm revered for its capacity to facilitate model training on decentralized data sources while upholding data confidentiality. …”
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Protocomputing Architecture over a Digital Medium Aiming at Real-Time Video Processing by Aoi Tanibata, Alexandre Schmid, Shinya Takamaeda-Yamazaki, Masayuki Ikebe, Masato Motomura, Tetsuya Asai

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Fish oocyte morphology detection using neural networks: a comparison of YOLO architectures by Yanna Leidy Ketley Fernandes Cruz, Ewaldo Eder Carvalho Santana, Isa Rosete Araujo Nascimento, Antonio Fhillipi Maciel Silva, Raimunda Nonata Fortes Carvalho Neta, José Ribamar de Souza Torres-Junior

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End-Edge Collaborative Lightweight Secure Federated Learning for Anomaly Detection of Wireless Industrial Control Systems by Chi Xu, Xinyi Du, Lin Li, Xinchun Li, Haibin Yu

“…To guarantee the security of wireless and distributed ICS, this article establishes an end-edge collaborative lightweight secure federated learning (LSFL) architecture and proposes an LSFL anomaly detection strategy. …”
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RETRACTED: Justification for selecting the neural network type for inclusion in the architecture of the developed medical information system by Berezovsky Vladimir, Vygovskaya Natallia

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Informative architectures and citizen participation: a comparative study between the digital platforms Decidim and Rousseauv by Eli Borges Junior, Bruno Madureira Ferreira

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Islam and survivals of pre-islamic beliefs in the Gol­den Horde on the materials of architectural funeral structures by Zilivinskaya E.D.

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Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning by Wei Zhang, Yiyang Li

“…Furthermore, an adaptive clustering federated deep reinforcement learning method is proposed to address the heterogeneity of the IRs. …”
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