forsomeconstantc
Appendix
In this section, we present some additional experiments. Empirical setup Most of the experimental setups are the same as those in Section 6, except that now we use 5 parties instead of 3 parties. There are 90 dimensions for a single data in YearPredictionMSD dataset, and we let each party hold 18 dimensions. Empirical results We plot the training loss instead of the testing loss since we are comparing differentobjectivefunctions. A.4 Experimentsonotherdatasets In this section, we present the experiment results on another dataset.
4a1d69d1f64c6b6df105b15984ca527a-Supplemental-Conference.pdf
The cluster sizes are unbalanced with|G 1|/|G 2| = 2, where we randomly choose200 number "0" and100 number of "5" for each repetition. Here we choose three clusters:G1 containing the "T-shirt/top",G2 containing the "Trouser" andG3 containing the "Dress", so that the number of clusters isK = 3 in the algorithms.