Federated learning (book)

Book series

Federated Learning (FL) requires an aggregator and parties to exchange model updates. (Page 285)

vulnerable to the inference of private data

System entities of the FL system

the attack surface is used to refer to the exposed parameters and data

against data leak

FL-specific attacks often take advantage of the information transmission during FL. 

Differential privacy: differential privacy at the party side or the aggregator side. 

For healthcare data and personal information, there are regulation and compliance requirements [14, 63]

page 285: In FL, training data is not explicitly shared. 

$13.3.1 Secure Aggregation