XOR example & tutorials

[khoaguin]

Description

XOR federated learning

X = 
[
  [0,0],
  [0,1],
  [1,0],
  [1,1],
];

Y = 
[0, 1, 1, 0]

and our example training script could find a random subsection of datasets with the XOR dataset and train across them

PART 2 of the tutorial

could be to deploy your own datasite and load the XOR dataset which then makes you a part of the hello world tutorials that other people run

-> so in theory the whole thing scales well (because the number of computers willing to accept XOR jobs is increasing in proportion to the number of people trying to train XOR AI models) and that doing it with XOR would allow you to reduce the number of lines of code need to submit a job to a small number

10-100 test datasites (with the XOR dataset) with a small percentage of them proceeding to

PART 3 - Netflix data
load Netflix data... could be a scalable path to commitments and deployments with minimal relationship management