7 items found

Licenses: Academic Free License 3.0 Formats: PDF Organisations: SoBigData Literacy

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  • TrainingMaterial

    Social Network Analysis @MasterBigData2022

    This course introduces students to the theories, concepts, and measures of Social Network Analysis (SNA), which is aimed at characterizing the structure of large-scale Online...
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  • JournalArticle

    Big other Surveillance capitalism and the prospects of an information civiliz...

    This article describes an emergent logic of accumulation in the networked sphere, ‘surveillance capitalism,’ and considers its implications for ‘information civilization.’ The...
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  • TrainingMaterial

    Compressed and Learned Data Structures Seminar

    In this seminar cycle, students are guided in the direct usage of a powerful C++ library implementing many state-of-the-art compressed data structures for big data. Other than...
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  • JournalArticle

    Explaining misclassification and attacks in deep learning via random forests

    Artificial intelligence, and machine learning (ML) in particular, is being used for different purposes that are critical for human life. To avoid an algorithm-based...
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  • ConferencePaper

    Efficient detection of Byzantine attacks in federated learning using last lay...

    Federated learning (FL) is an alternative to centralized machine learning (ML) that builds a model across multiple decentralized edge devices (a.k.a. workers) that own the...
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  • JournalArticle

    Conformity a Path-Aware Homophily measure for Node-Attributed Networks

    Unveil the homophilic/heterophilic behaviors that characterize the wiring patterns of complex networks is an important task in social network analysis, often approached...
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  • ConferencePaper

    Fair detection of poisoning attacks in federated learning

    Federated learning is a decentralized machine learning technique that aggregates partial models trained by a set of clients on their own private data to obtain a global model....
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