Titlebook: Artificial Intelligence and Soft Computing; 22nd International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2023

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Decentralized Federated Learning Loop with Constrained Trust Mechanismutes to the generalization of it, although there is a possibility of attacks. An example of this is dataset poisoning. Hence, in this research paper, we propose the introduction of a constrained trust mechanism for individual clients. In addition, a decentralized approach makes it possible to increa

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The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approachthis new learning paradigm raises several questions. In this study, we explore the significance of employing different optimizers for training neural networks using the streaming method. Experimental results are presented based on a detailed analysis of a convolutional neural network trained on the MNIST dataset.

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Training Neural Tensor Networks with Corrupted Relations illustrate that our new training objectives can show more stable training behaviour than the original training objective, and that they can result in better behaviour from the model on a selected problem. We also show that our training objectives may be less extensible into more complex problem domains than the original, however.

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Conference proceedings 2023Their Applications; Evolutionary Algorithms and Their Applications; and Artificial Intelligence in Modeling and Simulation...Part II: Computer Vision, Image and Speech Analysis; Various Problems of Artificial Intelligence; Bioinformatics, Biometrics and Medical Applications; and Data Mining and Pateern Classification... .