WenkeHuang / MarsFL
TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
☆88Updated 2 months ago
Alternatives and similar repositories for MarsFL:
Users that are interested in MarsFL are comparing it to the libraries listed below
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆95Updated last month
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆100Updated last year
- ☆44Updated last month
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆43Updated last year
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆34Updated last year
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆17Updated last year
- Federated Learning in CVPR2024☆16Updated 8 months ago
- Code Implementation and Informations about FedAS☆21Updated 2 weeks ago
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆34Updated 10 months ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- ☆28Updated 9 months ago
- This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)☆39Updated 9 months ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆84Updated last year
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆99Updated 2 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆42Updated last month
- ☆16Updated 11 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆40Updated 2 years ago
- ☆74Updated 4 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- ☆21Updated 2 years ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆106Updated last year
- Pytorch implementations of some general federated optimization methods.☆37Updated 3 months ago
- [ACM Computing Survey 2025] Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan Univ…☆13Updated 8 months ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆37Updated 6 months ago
- Simplified Implementation of FedPAC☆51Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆131Updated this week
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆88Updated 9 months ago
- ☆44Updated 11 months ago