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Published in 2021 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-021-00719-z
Abstract: Emerging applications in machine learning have imposed the problem of monotone non-submodular maximization subject to a cardinality constraint. Meanwhile, parallelism is prevalent for large-scale optimization problems in bigdata scenario while adaptive complexity is an important…
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Keywords:
non submodular;
monotone;
monotone non;
cardinality constraint ... See more keywords
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Published in 2021 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2021.3083955
Abstract: Mobile CrowdSensing (MCS) has recently become a powerful paradigm that recruits users to cooperatively perform various tasks. In many realistic settings, users participate in real time and we have to recruit them in an online…
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Keywords:
utility;
non submodular;
tex math;
user recruitment ... See more keywords