Key points are not available for this paper at this time.
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.
Hatherley et al. (Thu,) studied this question.