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Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 19th EAI Internation Honghao Gao,Xinheng Wang,Nikolaos Voros Conference

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Sexuelle Identität und Toleranzes a content fitness algorithm for estimating the priority of caching content with high user fitness and a collaborative caching strategy built upon a multi-agent deep reinforcement learning model. Empirical results clearly show that MAACC outperforms its peers regarding cache hit rate and transfer delay time.
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,Sexualitäten in Afrika, Asien und Ozeanien,s function, Discriminant-., balances the discriminant and reconstruction losses. Results from experiments on three datasets show that D-AE outperforms baseline algorithms and improves dataset applicability.
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Heike Pantelmann,Sabine Blackmore a K-means clustering algorithms were validated, and the experimental results demonstrated the effectiveness of proposed schemes, in which the K-means clustering algorithm in the plaintext state, the proposed scheme still maintains an accuracy up to 84.1%.
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A Multi-Agent Deep Reinforcement Learning-Based Approach to Mobility-Aware Cachinges a content fitness algorithm for estimating the priority of caching content with high user fitness and a collaborative caching strategy built upon a multi-agent deep reinforcement learning model. Empirical results clearly show that MAACC outperforms its peers regarding cache hit rate and transfer delay time.
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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engihttp://image.papertrans.cn/c/image/229419.jpg
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Collaborative Computing: Networking, Applications and Worksharing978-3-031-54528-3Series ISSN 1867-8211 Series E-ISSN 1867-822X
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https://doi.org/10.1007/978-3-031-54528-3ad hoc networks; artificial intelligence; blockchain; cloud computing; communication channels; computer n
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