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.
☆29Mar 16, 2024Updated 2 years ago
Alternatives and similar repositories for FedNoRo
Users that are interested in FedNoRo are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The official implementation for the paper: "FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification",…☆19Dec 24, 2023Updated 2 years ago
- Benchmark for federated noisy label learning☆29Aug 31, 2024Updated 2 years ago
- Official codes for ACM CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction☆24Feb 21, 2025Updated last year
- Official implementation of the paper "From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client…☆11Mar 13, 2025Updated last year
- Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)☆20Sep 27, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆17Jan 21, 2024Updated 2 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆42Mar 7, 2024Updated 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
- The official implementation for the paper: "FedMLP: Federated Multi-Label Medical Image Classiffcation under Task Heterogeneity", which i…☆25Dec 27, 2024Updated last year
- Official codes for IEEE TMC paper: Representation Optimal Matching for Federated Learning with Noisy Labels in Remote Sensing☆14Jan 20, 2026Updated 8 months ago
- ☆15Feb 27, 2024Updated 2 years ago
- [CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"☆18Oct 8, 2024Updated 2 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆23Jul 22, 2022Updated 4 years ago
- Official codes for FNBench: Benchmarking Robust Federated Learning against Noisy Labels☆22Feb 24, 2026Updated 7 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 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
- ☆12Oct 28, 2023Updated 2 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆118Dec 29, 2024Updated last year
- ☆15Dec 11, 2023Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆21Oct 21, 2023Updated 2 years ago
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆15Mar 31, 2025Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- [IEEE-JBHI'2024] M2FTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation☆31Oct 6, 2024Updated 2 years ago
- [ACM-MM'24 Oral] PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates☆38Jun 4, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆21Apr 27, 2024Updated 2 years ago
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆16Feb 17, 2023Updated 3 years ago
- ☆22Apr 30, 2022Updated 4 years ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Nov 2, 2023Updated 2 years ago
- ☆52Dec 31, 2024Updated last year
- [IEEE TMI'23] IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation☆13Apr 2, 2023Updated 3 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆71Feb 27, 2023Updated 3 years ago
- [MICCAI2023] Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging☆17Aug 2, 2024Updated 2 years ago
- Everything about federated learning. Your contribution is highly valued!☆29Jul 8, 2021Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆29Mar 7, 2024Updated 2 years ago
- Federated Bilevel Optimization☆15Jun 23, 2022Updated 4 years ago
- [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 3 years ago
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆23Oct 12, 2023Updated 3 years ago
- ☆11Aug 26, 2023Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Feb 16, 2023Updated 3 years ago
- Self-supervised federated learning for medical imaging - IEEE TMI☆80May 27, 2024Updated 2 years ago