FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning
cs.LG, cs.AI
Submitted: 2026-09-14
Updated: 2026-09-14
Code: https://github.com/gzhu-hcai/LongTailLib
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
- Federated Learning for Mobile Keyboard Prediction
- Long-tail learning via logit adjustment
- Decoupling Representation and Classifier for Long-Tailed Recognition
- FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
- Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
- LEAF: A Benchmark for Federated Settings
- FedML: A Research Library and Benchmark for Federated Machine Learning
- A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
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