Secure and Efficient Smart Healthcare System Based on Federated Learning

Table 1

Comparison with existing schemes.

	Secagg [5]	VerifyNet [7]	EfficiencySecagg
Confidentiality of users’ local parameter	√	√	√
Privacy protection for dropped users	√	√	√
Prevent collusion between users	√	√	√
Resist the interference of non-system users	√	×	√
Fully dynamic secret sharing	×	×	√
Add or remove users dynamically	×	×	√