mc2-project
Can this work be federated？
I read your another work "federated xgboost", which stated that it does not support differential privacy. If I implement this work in a distributed system, can it be considered federated？
Hi @njuptlht thanks for your interest in our project.
The Secure XGBoost model is that of multiparty outsourced computation, i.e. where all parties' data are individually encrypted and entirely transferred to a central cluster for processing. This is different from federated learning, in which only data summaries are exchanged between parties and a central aggregator service, and in which (in its vanilla form) summaries are unencrypted. The XGBoost training algorithm, however, natively exchange summaries -- see section 3 of the paper here for more.
If you are looking for differential privacy, this project also does not yet support it.
