An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
☆88Mar 22, 2022Updated 4 years ago
Alternatives and similar repositories for FedDC
Users that are interested in FedDC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆85Jan 6, 2022Updated 4 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Sep 15, 2022Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆71Jun 28, 2022Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆300Jun 27, 2022Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆61Jul 20, 2021Updated 4 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- ☆117Feb 27, 2023Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆79Jan 10, 2026Updated 2 months ago
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆48Jul 7, 2022Updated 3 years ago
- 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆48Apr 1, 2023Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆124Jul 1, 2022Updated 3 years ago
- [AAAI'22] HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images☆91Jul 19, 2022Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Oct 21, 2020Updated 5 years ago
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆24Jun 22, 2022Updated 3 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Mar 7, 2024Updated 2 years ago
- Code and data accompanying the FedGen paper☆258Oct 31, 2024Updated last year
- ☆184Mar 14, 2023Updated 3 years ago
- Code for Personalized Federated Learning with Gaussian Processes☆37Mar 3, 2022Updated 4 years ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆119Aug 7, 2023Updated 2 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆274Nov 13, 2025Updated 4 months ago
- ☆52Dec 31, 2024Updated last year
- ☆19Feb 15, 2023Updated 3 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆725Mar 24, 2023Updated 3 years ago
- [ICLR'24] Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate☆13Jun 17, 2025Updated 9 months ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Apr 25, 2023Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆176May 26, 2022Updated 3 years ago
- Self-supervised federated learning for medical imaging - IEEE TMI☆76May 27, 2024Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆40Mar 7, 2024Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆97Apr 24, 2023Updated 2 years ago
- 【IEEE TMI 2022】Specificity-Preserving Federated Learning for MR Image Reconstruction☆46Aug 24, 2022Updated 3 years ago
- ☆55Feb 23, 2024Updated 2 years ago
- PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS☆15Jun 28, 2023Updated 2 years ago
- ☆11Dec 4, 2025Updated 3 months ago
- [IEEE TMI'23] IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation☆12Apr 2, 2023Updated 2 years ago
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,070May 30, 2024Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆74Feb 22, 2022Updated 4 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆823Oct 20, 2025Updated 5 months ago
- ☆42Dec 8, 2021Updated 4 years ago