Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms. (arXiv:2207.02337v1 [cs.LG])

The advent of federated learning has facilitated large-scale data exchange
amongst machine learning models while maintaining privacy. Despite its brief
history, federated learning is rapidly evolving to make wider use more
practical. One of the most significant advancements in this domain is the
incorporation of transfer learning into federated learning, which overcomes
fundamental constraints of primary federated learning, particularly in terms of
security. This chapter performs a comprehensive survey on the intersection of
federated and transfer learning from a security …

adversaries defense lg survey