FedDAR
Federated Learning Framework
A framework for federated representation learning with domain awareness in multi-model scenarios.
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Repository | Description | Stars |
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| Evaluates various methods for federated learning on different models and tasks. | 19 |
| A framework for federated learning with partial model personalization | 2 |
| Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
| Develops a framework to balance competing goals in federated learning by decoupling generic and personalized prediction tasks. | 14 |
| A framework for collaborative distributed machine learning in enterprise environments. | 500 |
| A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 138 |
| A framework for non-IID federated learning via neural propagation | 6 |
| Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models. | 17 |
| Implementation of various federated learning algorithms to mitigate dimensional collapse in heterogeneous federated learning environments | 64 |
| An easy-to-use platform for federated learning on PyTorch | 9 |
| A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities. | 25 |
| An implementation of a federated learning framework for handling data heterogeneity in decentralized settings | 38 |
| An implementation of a heterogenous federated learning framework using model distillation. | 150 |
| A framework for decentralized collaborative learning across multiple clusters with efficient communication and data management strategies. | 106 |
| A framework for collaborative learning across multiple tasks and datasets in a distributed manner | 130 |