SOTAVerified

Fairness

Papers

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Showing 3601–3625 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
Training Fair Models in Federated Learning without Data Privacy Infringement—0
FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient—0
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation—0
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis—0
FedPrune: Towards Inclusive Federated Learning—0
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning—0
Feedback Effects in Repeat-Use Criminal Risk Assessments—0
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization—0
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation—0
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks—0
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification—0
Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing—0
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach—0
FFPDG: Fast, Fair and Private Data Generation—0
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
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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