ym1231 / fl-cir
Source code of paper entitled "Federated Learning with Class Imbalance Reduction".
☆9Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for fl-cir
- ☆26Updated 11 months ago
- ☆16Updated 3 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆38Updated 2 weeks ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆34Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆26Updated last year
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- ☆21Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆32Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated last year
- The implementation of "Continual Local Training for Better Initialization of Federated Models" (ICIP 2020).☆17Updated 4 years ago
- ☆27Updated last year
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆15Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆38Updated last year
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆14Updated 2 years ago
- ☆23Updated 11 months ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆27Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆40Updated 2 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆13Updated last year
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆25Updated 2 weeks ago
- Official Code for PACFL AAAI 2023☆37Updated last year
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆20Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆79Updated 2 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆35Updated 8 months ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆12Updated 11 months ago
- ☆31Updated 2 years ago