EFF-DVP extends FF-DVP to multiple sensitive attributes with parallel demographic prompts and claims that larger causal effects of an attribute on the label predict smaller fairness improvements.
Fedmbp: Multi-branch prototype federated learning on heterogeneous data,
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Towards Group Fairness with Multiple Sensitive Attributes in Federated Foundation Models
EFF-DVP extends FF-DVP to multiple sensitive attributes with parallel demographic prompts and claims that larger causal effects of an attribute on the label predict smaller fairness improvements.