CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics
cs.LG, cs.AI, cs.DC
Submitted: 2024-04-30
Updated: 2026-09-23
Terminology
Sources
- Mitigating Bias in Federated Learning
- Optuna: A Next-generation Hyperparameter Optimization Framework
- Improving Generalization in Federated Learning by Seeking Flat Minima
- Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
- HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks
- Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
- Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
- Neglected Hessian component explains mysteries in Sharpness regularization
- Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
- Fairness-aware Agnostic Federated Learning
- Fairness Through Awareness
- Towards Federated Learning on Time-Evolving Heterogeneous Data
- Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
- Fairness Without Demographics in Repeated Loss Minimization
- Averaging Weights Leads to Wider Optima and Better Generalization
- On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
- Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
- On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
- Fairness without Demographics through Adversarially Reweighted Learning
- Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks