SOTAVerified

Fairness

Papers

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Showing 3601–3610 of 5676 papers

TitleStatusHype
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning—0
Federated Fairness without Access to Sensitive Groups—0
Federated Learning over a Wireless Network: Distributed User Selection through Random Access—0
Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach—0
Federated Learning with Relative Fairness—0
FederatedTrust: A Solution for Trustworthy Federated Learning—0
Federated Unlearning: a Perspective of Stability and Fairness—0
Federating for Learning Group Fair Models—0
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning—0
FedFair^3: Unlocking Threefold Fairness in Federated Learning—0
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86—Unverified
21D-CSNNPredictive Equality (age)97.8—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96—Unverified