tmlr-group / FedFedLinks
[NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"
☆20Updated last year
Alternatives and similar repositories for FedFed
Users that are interested in FedFed are comparing it to the libraries listed below
Sorting:
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated 2 years ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆7Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆43Updated 2 years ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆22Updated last year
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆15Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆38Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- ☆13Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆50Updated 5 months ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆89Updated 2 years ago
- ☆15Updated last year
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Updated last year
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆54Updated last year
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆27Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆28Updated 2 years ago
- ☆34Updated 3 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆17Updated last year
- ☆28Updated 2 years ago
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆48Updated 2 years ago
- The official implantation of SGPT (CVPR2024)☆13Updated 10 months ago
- ☆49Updated 3 years ago
- Simplified Implementation of FedPAC☆56Updated last year
- Code Implementation and Informations about FedAS☆23Updated 4 months ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆15Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆59Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 4 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆20Updated 3 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year