The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and Label Noise Heterogeneity", which is accepted at IJCAI'23 main track.
☆27Mar 16, 2024Updated last year
Alternatives and similar repositories for FedNoRo
Users that are interested in FedNoRo are comparing it to the libraries listed below
Sorting:
- The official implementation for the paper: "FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification",…☆20Dec 24, 2023Updated 2 years ago
- Benchmark for federated noisy label learning☆25Aug 31, 2024Updated last year
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆16Jan 21, 2024Updated 2 years ago
- Official codes for ACM CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction☆21Feb 21, 2025Updated last year
- Code for 'Robust Federated Learning with Noisy Labels'☆15Jun 28, 2021Updated 4 years ago
- The official implementation for the paper: "FedMLP: Federated Multi-Label Medical Image Classiffcation under Task Heterogeneity", which i…☆22Dec 27, 2024Updated last year
- Official implementation of the paper "From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client…☆10Mar 13, 2025Updated 11 months ago
- Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)☆20Sep 27, 2023Updated 2 years ago
- Official codes for ACM CIKM '22 full paper: Towards Federated Learning against Noisy Labels via Local Self-Regularization☆52Jan 30, 2025Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆39Mar 7, 2024Updated last year
- ☆12Oct 28, 2023Updated 2 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- ☆14Feb 27, 2024Updated 2 years ago
- ☆16Dec 11, 2023Updated 2 years ago
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆14Mar 31, 2025Updated 11 months ago
- ☆30Jun 3, 2022Updated 3 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Jul 22, 2022Updated 3 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆115Dec 29, 2024Updated last year
- [IEEE TMI'23] IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation☆12Apr 2, 2023Updated 2 years ago
- Official codes for FNBench: Benchmarking Robust Federated Learning against Noisy Labels☆18Feb 24, 2026Updated last week
- ☆20Apr 12, 2024Updated last year
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Aug 28, 2023Updated 2 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆43Jul 15, 2023Updated 2 years ago
- [MICCAI2023] Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging☆14Aug 2, 2024Updated last year
- A python (PyTorch) implementation of federated multi-encoding U-Net (Fed-MENU) method for federated learning-based multi-organ segmentati…☆16Nov 5, 2024Updated last year
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆16Feb 17, 2023Updated 3 years ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Nov 2, 2023Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Feb 27, 2023Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆47Feb 16, 2023Updated 3 years ago
- Federated Learning in CVPR2024☆20Jun 6, 2024Updated last year
- Federated Bilevel Optimization☆16Jun 23, 2022Updated 3 years ago
- Official Code for PACFL AAAI 2023☆45Aug 6, 2023Updated 2 years ago
- ☆21Apr 27, 2024Updated last year
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Oct 21, 2023Updated 2 years ago
- [CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"☆18Oct 8, 2024Updated last year
- ☆23Apr 30, 2022Updated 3 years ago
- ☆17Aug 5, 2024Updated last year
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆22Oct 12, 2023Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆48Feb 11, 2023Updated 3 years ago