Though promising advances are witnessed for FL, new challenges are emerging when integrating FL with the rising needs and opportunities in data mining, graph analytics, foundation models, generative AI, and new interdisciplinary applications in science. By hosting this workshop, we aim to attract a ...
SIGKDD stands for the Association for Computing Machinery (ACM) 's Special Interest Group on Knowledge Discovery and Data Mining. It is a community for data mining, data science, and analytics. It promotes basic research and development in KDD, adoption of "standards" in the market in terms ...
(i.e., the amount of information which is stored digitally) surpassed one Zettabyte (ZB) for the first time in history and it now stands at about 1.8 ZB. This massive expansion in the size of the amount of information appears to be exceeding Moore’s Law. It is also estimated that abo...
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Note that the approach to text mining we advocate in this paper stands in significant contrast to what is traditionally termed text data mining [10]. Other approaches use the text itself as the strata for ¤performing a mining analysis. For example, [10] has created a sys- tem for gene ...
Abstract: Collaborative fairness stands as an essential element in federated learning to encourage client participation by equitably distributing rewards based on individual contributions. Existing methods primarily focus on adjusting gradient allocations among clients to achieve collaborative fairness. However, ...