A federated recommendation method that aggregates model updates separately for each gender using orthogonal attribute vectors and secure aggregation, improving recommendation quality for both groups while keeping gender private.
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Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation
A federated recommendation method that aggregates model updates separately for each gender using orthogonal attribute vectors and secure aggregation, improving recommendation quality for both groups while keeping gender private.