RainbowPillow / federatedlearning_daily
☆8Updated last year
Alternatives and similar repositories for federatedlearning_daily:
Users that are interested in federatedlearning_daily are comparing it to the libraries listed below
- This is a code that combines federated learning with differential privacy for transformer fault diagnosis.☆27Updated last year
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- ☆18Updated 2 years ago
- Communication-efficient federated continual learning☆14Updated 2 years ago
- ☆11Updated 2 years ago
- ☆18Updated 3 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated last year
- [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning☆11Updated last month
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated last year
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated last year
- ☆18Updated last year
- ☆25Updated 2 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆33Updated last year
- Source code of paper entitled "Federated Learning with Class Imbalance Reduction".☆10Updated 4 years ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆16Updated 8 months ago
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆11Updated last year
- Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data☆11Updated last month
- ☆16Updated 3 years ago
- ☆26Updated last year
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated 10 months ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆32Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆12Updated 3 years ago
- The implementation of FedHSSL algorithm published in the paper "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learni…☆13Updated 6 months ago
- This is the implementation of Federated Meta-Learning for Few shot Fault Diagnosis (FedMeta-FFD).☆22Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆36Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆26Updated last month
- Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning☆34Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- ☆9Updated 2 years ago