Hello.
First of all, I want to thank all of the developers and supporters of this fantastic project.
I am new to federated learning and just started to learn a few months ago. Right now, I am researching attacks on federated learning models like property inference using shadow models.
My current implementation uses a function that mimics a federated learning environment, where an attackmodel (previously trained) gets the probability of a property beign present in a given round
I would like to use flwr to continue my research with a well stablished library and I was wondering if there is some documentation, example or video that teaches how to implement this kind of techniques using flwr. I am by no means an expert so maybe this isn´t even possible and I am asking the wrong question.
Thanks for your help.