hukla / FedClassAvg
☆18Updated 2 years ago
Alternatives and similar repositories for FedClassAvg:
Users that are interested in FedClassAvg are comparing it to the libraries listed below
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning☆12Updated 4 months ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated last year
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆20Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆42Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆28Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆21Updated 9 months ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆33Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆36Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆28Updated 2 years ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Updated last year
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆19Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆11Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆26Updated last year
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- ☆15Updated last year
- Simplified Implementation of FedPAC☆56Updated last year
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Updated last year
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated last year
- ☆49Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 4 months ago
- Personalized Federated Learning under Mixture of Distributions☆18Updated last year
- This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)☆39Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆25Updated 2 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆15Updated last year
- ☆28Updated 2 years ago