thu-media / FedCL
The implementation of "Continual Local Training for Better Initialization of Federated Models" (ICIP 2020).
☆17Updated 4 years ago
Related projects: ⓘ
- Practical One-Shot Federated Learning for Cross-Silo Setting☆39Updated 3 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆22Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆33Updated last year
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆24Updated 6 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆36Updated last year
- ☆26Updated 8 months ago
- Source code of paper entitled "Federated Learning with Class Imbalance Reduction".☆10Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆77Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆72Updated last year
- ☆31Updated 2 years ago
- ☆23Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆58Updated last year
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆39Updated last year
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆21Updated last year
- ☆41Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆23Updated last year
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆15Updated 2 years ago
- The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…☆13Updated 2 months ago
- ☆17Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆78Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆15Updated 4 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆23Updated 4 months ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆31Updated last year
- ☆27Updated 3 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆55Updated 2 years ago
- Official Code for PACFL AAAI 2023☆37Updated last year
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆48Updated 3 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆29Updated 3 weeks ago