pierreHmbt / FedCP-QQ
Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)
☆11Updated last year
Alternatives and similar repositories for FedCP-QQ:
Users that are interested in FedCP-QQ are comparing it to the libraries listed below
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆17Updated last year
- ☆18Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆57Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- ☆40Updated last year
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆56Updated 2 years ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Updated last year
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆28Updated last year
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Updated last year
- ☆15Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆36Updated last year
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated last year
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆18Updated last year
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆19Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- Official Code for PACFL AAAI 2023☆43Updated last year
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated 2 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆24Updated 2 years ago
- Paper: UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration☆14Updated 3 months ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆20Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆21Updated 9 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆30Updated 2 years ago
- Source code of paper entitled "Federated Learning with Class Imbalance Reduction".☆9Updated 4 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆42Updated 2 years ago
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆11Updated last year