pierreHmbt / FedCP-QQLinks
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
Sorting:
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆17Updated last year
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆58Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆43Updated 2 years ago
- ☆18Updated 2 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated 2 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆24Updated 2 years ago
- ☆40Updated last year
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Updated last year
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆56Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Updated 2 years ago
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆10Updated last year
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆21Updated last year
- 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 4 years ago
- Federated Learning with Partial Model Personalization☆42Updated 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☆40Updated last year
- ☆30Updated 4 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆20Updated last year
- Paper: UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration☆14Updated 5 months ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆25Updated 2 years ago
- Personalized Federated Learning under Mixture of Distributions☆18Updated last year
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 3 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆22Updated 2 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆21Updated 11 months ago
- ☆10Updated last year
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆15Updated last year