From e25c56493b8fd44151f584549c6b47d128956f2f Mon Sep 17 00:00:00 2001 From: andylamp Date: Mon, 1 Nov 2021 18:45:21 +0200 Subject: [PATCH] minor fixes --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 153ee01..0c9adcd 100644 --- a/README.md +++ b/README.md @@ -72,10 +72,10 @@ Finally, we report the resulting subspace quality, and the frobenious norm error of each method which clearly show that F-PCA exhibits state-of-the-art performance. * Federated PCA (https://arxiv.org/abs/1907.08059) - * Power Method (https://arxiv.org/pdf/1307.0032.pdf) - * Frequent Directions (https://arxiv.org/abs/1501.01711.pdf) - * Robust Frequent Directions (https://arxiv.org/pdf/1705.05067.pdf) - * GROUSE (https://arxiv.org/pdf/1702.01005.pdf) + * Power Method (https://arxiv.org/abs/1307.0032) + * Frequent Directions (https://arxiv.org/abs/1501.01711) + * Robust Frequent Directions (https://arxiv.org/abs/1705.05067) + * GROUSE (https://arxiv.org/abs/1702.01005) * SPIRIT (https://dl.acm.org/citation.cfm?id=1083674) Note that the rank adjusting experiments are performed using only SPIRIT; this is @@ -203,7 +203,7 @@ respective copyrights. If you find our paper useful or use this code, please consider citing our work as such: -``` +```bib @article{grammenos2020federated, title={Federated Principal Component Analysis}, author={Grammenos, Andreas and Mendoza Smith, Rodrigo and Crowcroft, Jon and Mascolo, Cecilia}, @@ -233,6 +233,6 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. [3]: http://www.cs.albany.edu/~jhh/courses/readings/desphande.vldb04.model.pdf [4]: https://en.wikipedia.org/wiki/ISO_8601 [5]: https://github.com/andylamp/moses -[6]: https://papers.nips.cc/paper/4565-near-optimal-differentially-private-principal-components.pdf +[6]: https://papers.nips.cc/paper/4565-near-optimal-differentially-private-principal-components [7]: http://yann.lecun.com/exdb/mnist/ [8]: https://archive.ics.uci.edu/ml/datasets/wine+quality