MingzhaoYang / FedDISC
The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)
☆7Updated last year
Alternatives and similar repositories for FedDISC:
Users that are interested in FedDISC are comparing it to the libraries listed below
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆19Updated last year
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- ☆15Updated last year
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆17Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆28Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆38Updated last year
- (AAAI-24) Federated Learning via Input-Output Collaborative Distillation☆12Updated last year
- ☆16Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆25Updated 2 years ago
- Simplified Implementation of FedPAC☆56Updated last year
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆27Updated last year
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆14Updated 3 months ago
- ☆27Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆88Updated 2 years ago
- Paper: UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration☆14Updated 4 months ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆53Updated last year
- Code Implementation and Informations about FedAS☆22Updated 3 months ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆56Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆42Updated 2 years ago
- ☆49Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis, Accept…☆10Updated 2 months ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆26Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆28Updated 2 years ago
- ☆34Updated 3 years ago
- ☆29Updated 2 years ago
- ☆48Updated 4 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 4 months ago