FangXiuwen / FSMAFL
paper code commit-fsmafl
☆10Updated last year
Alternatives and similar repositories for FSMAFL:
Users that are interested in FSMAFL are comparing it to the libraries listed below
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆42Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆20Updated 2 years ago
- ☆18Updated 2 years ago
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆10Updated 9 months ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆27Updated 3 months ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆14Updated last year
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆11Updated last year
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆48Updated 3 months ago
- ☆33Updated 3 years ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆52Updated 2 weeks ago
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆13Updated last month
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆20Updated 8 months ago
- code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"☆16Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆27Updated last year
- ☆46Updated 2 years ago
- ☆16Updated 7 months ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- The implementation of "Continual Local Training for Better Initialization of Federated Models" (ICIP 2020).☆17Updated 4 years ago
- Code for 'Robust Federated Learning with Noisy Labels'☆14Updated 3 years ago
- ☆10Updated last year
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆33Updated last year
- ☆28Updated 2 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆25Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆87Updated last year