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Titlebook: Big Data and Security; 5th International Co Yuan Tian,Tinghuai Ma,Muhammad Khurram Khan Conference proceedings 2024 The Editor(s) (if appli

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,Übergang in den festen Zustand,t of panoramic segmentation technology. It has a wide range of applications in many areas, such as cyber security, intelligent driving, tumor recognition, boundary segmentation, pest, disease recognition, face recognition and beauty enhancement, etc. With the continuous development of deep learning,
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,Übergang in den festen Zustand,. It has gained substantial attention due to its versatile applications in virtual reality, augmented reality, medicine, cultural heritage preservation, intelligent transportation, and autonomous driving. Advancements in computational power, deep learning, and sensor technology have markedly improve
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Strukturelle Phasenumwandlungen,ncreasing awareness of data privacy and legal restrictions, the phenomenon of “data silos” has emerged. To overcome this issue, federated learning methods have been introduced. Federated learning emphasizes privacy protection and decentralization by allowing multiple participants to collaboratively
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,Übergang in den festen Zustand,ty that the agent may need to estimate the value of unseen action, which usually results in value overestimation and training instability. The Imitation-learning-based method, which is easy to implement and scale up, bypasses this problem by performing some kind of imitation learning on the dataset
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