FedDG-GA
Domain generalization method
This project presents a method for federated domain generalization with adjustment, allowing multiple models to learn from each other across different domains.
[CVPR 2023] Federated Domain Generalization with Generalization Adjustment
43 stars
1 watching
10 forks
Language: Python
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
| This project enables personalized federated learning with inferred collaboration graphs to improve the performance of machine learning models on non-IID (non-independent and identically distributed) datasets. | 26 |
| This project enables federated learning across partially class-disjoint data with curated bilateral curation. | 11 |
| A federated learning framework with discrepancy-aware collaboration for decentralized data training | 68 |
| An implementation of federated submodel averaging (FedSubAvg) to enable collaborative learning across decentralized devices or users. | 7 |
| An implementation of a federated learning method to reduce domain bias in representation space, enabling improved knowledge transfer between clients and servers. | 22 |
| Improves federated learning performance by incorporating domain knowledge and regularization to adapt models across diverse domains | 93 |
| Federated learning algorithm that adapts to non-IID data by decoupling and correcting for local drift | 81 |
| An implementation of Bayesian network structure learning with continuous optimization for federated learning. | 10 |
| An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships | 10 |
| This project presents a framework for federated domain generalization in medical image segmentation using continuous frequency space and episodic learning. | 246 |
| An implementation of Personalized Federated Learning with Gaussian Processes using Python. | 32 |
| A collection of research projects exploring decentralized machine learning and analytics techniques | 695 |
| An implementation of a domain generalization method for federated learning using Python and PyTorch | 26 |
| An algorithm that breaks secure aggregation protocols in federated learning by recovering individual model updates from aggregated sums | 14 |
| A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios. | 14 |