Fluent: Round-efficient Secure Aggregation for Private Federated
Learning
Fluent: Round-efficient Secure Aggregation for Private Federated
Learning
Federated learning (FL) facilitates collaborative training of machine learning models among a large number of clients while safeguarding the privacy of their local datasets. However, FL remains susceptible to vulnerabilities such as privacy inference and inversion attacks. Single-server secure aggregation schemes were proposed to address these threats. Nonetheless, they encounter …