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Computer Science Review
Scopus
ISSN 1574-0137 · Elsevier BV · 7 artikel di indeks
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Artikel Jurnal
Asynchronous federated learning on heterogeneous devices: A survey
Federated learning (FL) is a kind of distributed machine learning framework, where the global model is generated on the centralized aggregation server based on the parameters of local models, addressing concerns about privacy leakage caused by the collection of local training data. With the growing…
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Artikel Jurnal Teks lengkap
Landscape of IoT security
The last two decades have experienced a steady rise in the production and deployment of sensing-and-connectivity-enabled electronic devices, replacing “regular” physical objects. The resulting Internet-of-Things (IoT) will soon become indispensable for many application domains. Smart objects are…
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Artikel Jurnal
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
Industry 4.0 is the new industrial revolution. By connecting every machine and activity through network sensors to the Internet, a huge amount of data is generated. Machine Learning (ML) and Deep Learning (DL) are two subsets of Artificial Intelligence (AI), which are used to evaluate the generated…
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Artikel Jurnal Teks lengkap
A comprehensive survey on the Multiple Traveling Salesman Problem: Applications, approaches and taxonomy