Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning - researchr publication

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Dawood Wasif, Chandan K. Reddy, Terrence J. Moore, Jin-Hee Cho. Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning. In Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2026, Montreal, QC, Canada, June 25-28, 2026. pages 921-955, ACM, 2026. [doi]

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