Cross-Silo Heterogeneous Model Federated Multitask Learning. (arXiv:2202.08603v5 [cs.LG] UPDATED)

Federated learning (FL) is a machine learning technique that enables
participants to collaboratively train high-quality models without exchanging
their private data. Participants utilizing cross-silo federated learning
(CS-FL) settings are independent organizations with different task needs, and
they are concerned not only with data privacy but also with independently
training their unique models due to intellectual property considerations. Most
existing FL methods are incapable of satisfying the above scenarios. In this
study, we present a novel federated learning method CoFED based …

arxiv learning lg multitask learning