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Titlebook: Communications and Networking; 18th EAI Internation Feifei Gao,Jun Wu,Shangguang Wang Conference proceedings 2024 ICST Institute for Comput

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https://doi.org/10.1007/978-4-431-55558-2weighted FL aggregation algorithm is introduced, which assigns weights to local models by evaluating their contribution and accuracy. Furthermore, DAG blockchain technology is applied in FL to bolster the security and efficiency of model sharing among FNs. Finally, simulation results show the effect
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Carmen Isabel Castillo Carrillores of knowledge modeling, extraction, fusion and representation in detail. Then, we investigate the knowledge reasoning problem in UMPSs which is of particular importance for achieving information update in the mission execution environment, and propose a graph neural network (GNN)-based knowledge
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Pablo A. Chong,Efrén Santos-Ordoñezropose a heuristic algorithm named MMAS-RA based on max-min ant system algorithm for resource dynamic allocation. The experimental results in four typical scenarios illustrate that our method improves up to 32.26% traffic deployment success rate and 67.02% resource utilization rate compared with the
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https://doi.org/10.1007/978-981-10-5589-8he current and previous interaction of vehicles, to mitigate on-off attack. A dynamic driving reference set is designed based on the location information of received messages, since the forward and lateral vehicles of driving direction can provide more valuable information. Moreover, we built a VANE
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Agriculturally Important Microorganisms system is given. The analysis process considers the probabilities of successful and failed decoding and the impact of decoding on delay, thus gaining a deep understanding of the freshness of information in the CRDSA system. The research results of this paper are of great significance for optimizing
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