Double layer federated security learning architecture for artificial intelligence of things by ZHENG Chengbo, YAN Haonan, FU Caili, ZHANG Dong, LI Hui, WANG Bin

“…Federated learning, as a distributed machine learning architecture, can complete model co-training while protecting data privacy, and is widely used in Artificial Intelligence of Things. …”
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Decentralizing security architecture: evaluating federalism’s role in enhancing security frameworks in Nigeria by O. O. Awotayo, B. O. Omitola

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On-Site Participation for Proto-Architectural Assemblies Encompassing Technology and Human Improvisation: “Fish Trap” and “Orchid” Architectural Interventions by Peter Buš, Shi-Yen Wu, Ayça Tartar

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SCIENTIFIC AND CREATIVE PORTRAIT OF THE ACADEMY OF ARCHITECTURE AND ARTS by Alexandr M. Boyarinov, Viktoriya V. Pischulina

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Review of communication optimization methods in federated learning by YANG Zhikai, LIU Yaping, ZHANG Shuo, SUN Zhe, YAN Dingyu

“…Then, based on the factors affecting communication efficiency, existing federated learning communication optimization methods were comprehensively sorted out and analyzed from optimization objectives such as model parameter compression, model update strategies, system architecture, and communication protocols. …”
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Plastic forms of architecture in Dynamo-Revit and GrasshopperRhino-Archicad by K. A. Shumilov, Yu. A. Guryeva

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LSKE: Lightweight Secure Key Exchange Scheme in Fog Federation by Yashar Salami, Vahid Khajehvand

“…The fog computing architecture allows data exchange with the vehicle network, sensor networks, etc. …”
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Federated Learning: A Distributed Shared Machine Learning Method by Kai Hu, Yaogen Li, Min Xia, Jiasheng Wu, Meixia Lu, Shuai Zhang, Liguo Weng

“…Federated learning (FL) is a distributed machine learning (ML) framework. …”
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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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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…This paper presents a detailed literature review of the application of Federated Learning (FL) in brain tumor classification, focusing on the necessity of privacy-preserving ML using Magnetic Resonance Imaging (MRI) technology. …”
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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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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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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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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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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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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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Replication-transcription complex of coronaviruses: functions of individual viral non-structural subunits, properties and architecture of their complexes by E. L. Mishchenko, V. A. Ivanisenko

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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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