Výsledky vyhľadávania - "federated clustering algorithms"
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1
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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2
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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3
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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4
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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5
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
Relation: https://figshare.com/articles/figure/Clustering_results_under_different_numbers_of_clients_/29308628
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6
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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7
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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8
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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9
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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10
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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11
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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12
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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13
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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14
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
Relation: https://figshare.com/articles/figure/Clustering_results_under_different_numbers_of_clients_/29308628
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15
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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16
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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17
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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18
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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19
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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20
Autori:
Predmety: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
Relation: https://figshare.com/articles/figure/Clustering_results_under_different_numbers_of_clients_/29308628
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