FedDG23 / FedDG-main
☆9Updated last year
Alternatives and similar repositories for FedDG-main:
Users that are interested in FedDG-main are comparing it to the libraries listed below
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆14Updated 2 months ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆17Updated 10 months ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆7Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆36Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- ☆13Updated last year
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆101Updated 3 months ago
- [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning☆28Updated last year
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆19Updated last year
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆53Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆42Updated 2 years ago
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆18Updated last year
- Code Implementation and Informations about FedAS☆22Updated 2 months ago
- ☆15Updated last year
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆103Updated last year
- code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"☆16Updated last year
- ICLR 2023 - FedFA: Federated Feature Augmentation☆56Updated 2 years ago
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆13Updated last year
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆26Updated last year
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- ☆29Updated 11 months ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆55Updated last month
- This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)☆39Updated 11 months ago
- [CVPR2023] Federated Incremental Semantic Segmentation☆36Updated last year
- Benchmark for federated noisy label learning☆23Updated 7 months ago
- ☆10Updated last year
- ☆19Updated 11 months ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆26Updated last year