Federation Opacity and the Promise of Federated Learning in Healthcare

fairness and accountability in medical ML; and (b) makes FL models especially vulnerable to data poisoning attacks. It then identifies several key claims about the expected benefits of FL in healthcare and argues that they may be either exaggerated, misleading, or incomplete - often due to the problem of federation opacity.