Transfer Learning for a Regression Problem

[diliprk]

Hi Dipanjan,
Thank you for this great book about Transfer Learning. It gave me a good overview understanding of transfer Learning. I am currently working on a regression problem (7 predictors and 1 response variable) to model some restrictor parameters in a flow distribution system. The flow system is segmented into 7 zones, some of which are simple and share some similarities, but some of the zones are complex and distinct. It was suggested to use transfer Learning to model at least the zones which are similar to each other, as available data is limited. However in my research I find transfer Learning is mostly applied to classification tasks. My basic questions are:
1.) Is it possible to use transfer Learning for a regression problem where we have to predict a numerical value? Will there be any reasonable benefits in sparse data situations?
2.) Can you please point to some reliable resources (or chapters in your book) which could help in applying transfer Learning to my regression problem?