Benchmark for federated noisy label learning
☆29Aug 31, 2024Updated 2 years ago
Alternatives and similar repositories for FedNoisy
Users that are interested in FedNoisy 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 PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆29Mar 16, 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
- ☆11Dec 27, 2023Updated 2 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)☆20Sep 27, 2023Updated 3 years ago
- Code for 'Robust Federated Learning with Noisy Labels'☆15Jun 28, 2021Updated 5 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆10Jun 29, 2022Updated 4 years ago
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆17Jan 21, 2024Updated 2 years ago
- The first real-world FL benchmark for legal NLP☆14Nov 29, 2023Updated 2 years ago
- PR2023: Dynamics-Aware Loss for Learning with Label Noise☆13Aug 10, 2023Updated 3 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆42Mar 7, 2024Updated 2 years ago
- The official implementation for the paper: "FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification",…☆19Dec 24, 2023Updated 2 years ago
- Official implementation of the paper "From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client…☆12Mar 13, 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
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆23Jul 22, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆24Nov 8, 2025Updated 11 months ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆88Feb 7, 2024Updated 2 years ago
- ☆52Dec 31, 2024Updated last year
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Oct 30, 2023Updated 3 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆63Oct 10, 2024Updated 2 years ago
- code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"☆18Aug 15, 2023Updated 3 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Feb 24, 2021Updated 5 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆35Aug 3, 2022Updated 4 years ago
- A curated (most recent) list of resources for Learning with Noisy Labels☆736Oct 18, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code for Neural Networks journal paper - StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic cl…☆13Apr 28, 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
- [ICLR 2023] Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning☆15Aug 2, 2023Updated 3 years ago
- Domain Invariant Adversarial Learning☆10Sep 11, 2022Updated 4 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆74Aug 4, 2023Updated 3 years ago
- ☆14Mar 28, 2025Updated 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 3 years ago
- Pytorch implementation for ECCV 2022 Paper “Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization”☆43Nov 12, 2022Updated 3 years ago
- Federated Learning in Network Intrusion Detection☆16Feb 22, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆10Jul 11, 2022Updated 4 years ago
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆15Aug 1, 2025Updated last year
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆77Jun 15, 2021Updated 5 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Jan 29, 2024Updated 2 years ago
- Conformal Prediction + Federated Learning☆17Mar 16, 2024Updated 2 years ago
- [MICCAI2023] Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging☆17Aug 2, 2024Updated 2 years ago
- ☆10Dec 21, 2021Updated 4 years ago