Titlebook: Algorithms and Architectures for Parallel Processing; 20th International C Meikang Qiu Conference proceedings 2020 Springer Nature Switzerl

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https://doi.org/10.1007/978-3-8349-9752-4 in solving large-scale problems. However, this algorithm suffers from the straggler problem its updates have to be synchronized. Therefore, the asynchronous ADMM algorithm is proposed. However, the convergence speed of the ADMM algorithm is not very satisfactory. In this paper, we propose a dynamic

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Charakter und Bau der Flechten,tations of existing networks in support of these network-intensive applications because they provide high bandwidth reaching up to multiple Gbps for large file transfer. One of the main challenges to maximize and stabilize goodput is explicitly managing the randomness inherent in high-speed mobile n

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Tabellen zum Bestimmen der Arten,xisting BLS-based algorithms use the least square method to calculate its output weights. As the size of the training data set increases, this approach will cause the training efficiency of the model to be seriously reduced, and the solution of the model will also be unstable. To solve this problem,

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