Development of SplitNN as a 2d array of Models.

[H4LL]

This allows for generic logic which can be used to accomodate arbitrary input/ label tensor partitions.

Currently we treat the SplitNN as a 1d array of models. This allows us to perform horizontal splits in the model.

When this works, we should be able to use the same, standard class for any data/ label distribution

[arunraja-hub]

Hi @H4LL Can I work on this issue, please?

[H4LL]

Sure! Lmk know if you'd like any pointers/ feedback

[arunraja-hub]

Thank you! This is my first issue on Openmined
Could you point me to some articles/resources I can refer to learn more about this SplitNN project?

[H4LL]

https://blog.openmined.org/split-neural-networks-on-pysyft/
https://blog.openmined.org/what-is-pyvertical/

[TTitcombe]

hey @arunraja-hub, how is this going?

[arunraja-hub]

Apologies I haven't had time to work on this
You can reassign it to someone else