Yujun-Shi / FedCLS
[ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.00226)
☆40Updated 2 years ago
Alternatives and similar repositories for FedCLS:
Users that are interested in FedCLS are comparing it to the libraries listed below
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated last year
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆36Updated last year
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated last year
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆12Updated last year
- ☆10Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆27Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆20Updated 7 months ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated 11 months ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆33Updated last year
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆30Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆12Updated 8 months ago
- ☆26Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆36Updated 11 months ago
- ☆18Updated 2 years ago
- On Bridging Generic and Personalized Federated Learning for Image Classification☆14Updated 3 years ago
- Benchmarking Semi-supervised Federated Learning☆51Updated 2 years ago
- Benchmark for federated noisy label learning☆21Updated 5 months ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆55Updated last year
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆40Updated 2 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆26Updated last month
- ☆18Updated 3 years ago
- ☆14Updated last year
- Official implementation of "Multi-Level Branched Regularization for Federated Learning" in ICML 2022☆21Updated 11 months ago