2 papers
cs.CR2025
λ-SecAgg: Partial Vector Freezing for Lightweight Secure Aggregation in Federated Learning
Siqing Zhang, Yong Liao, Pengyuan Zhou
Secure aggregation of user update vectors (e.g. gradients) has become a critical issue in the field of federated learning. Many Secure Aggregation Protocols (SAPs) face exorbitant…
cs.LG2024
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation
Siqing Zhang, Yuchen Ding, Wei Tang +3
Under stringent privacy constraints, whether federated recommendation systems can achieve group fairness remains an inadequately explored question. Taking gender fairness as a repr…