wizard1203 / FuseFLLinks
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)
☆12Updated 7 months ago
Alternatives and similar repositories for FuseFL
Users that are interested in FuseFL are comparing it to the libraries listed below
Sorting:
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"☆17Updated 2 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆59Updated 2 years ago
- ☆14Updated 2 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆13Updated 2 months ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- Benchmark for federated noisy label learning☆24Updated last year
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆13Updated last year
- ☆87Updated 2 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated 2 years ago
- Federated Learning - PyTorch☆14Updated 4 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated last year
- 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆48Updated 2 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆74Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 3 years ago
- ☆19Updated 10 months ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated 2 years ago
- The official implementation for the paper: "FedMLP: Federated Multi-Label Medical Image Classiffcation under Task Heterogeneity", which i…☆20Updated 10 months ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- Official codes for ACM CIKM '22 full paper: Towards Federated Learning against Noisy Labels via Local Self-Regularization☆51Updated 9 months ago
- ☆27Updated 2 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆110Updated 10 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆23Updated last year
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆18Updated 8 months ago