Fed-RoD
Federated Learning Framework
Develops a framework to balance competing goals in federated learning by decoupling generic and personalized prediction tasks.
On Bridging Generic and Personalized Federated Learning for Image Classification
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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 representation learning with domain awareness in multi-model scenarios. | 2 |
| Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models. | 17 |
| Develops an alignment framework for federated learning with non-identical client class sets | 4 |
| An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning. | 43 |
| A framework for federated learning that leverages the neural tangent kernel to address statistical heterogeneity in distributed machine learning. | 3 |
| A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning | 97 |
| Implementation of various federated learning algorithms to mitigate dimensional collapse in heterogeneous federated learning environments | 64 |
| A framework for federated learning with partial model personalization | 2 |
| An implementation of a federated learning framework for handling data heterogeneity in decentralized settings | 38 |
| A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 138 |
| Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
| A decentralized federated learning framework based on blockchain and PyTorch. | 243 |
| Provides code for a federated learning algorithm to optimize machine learning models in a distributed setting. | 14 |
| Personalized Subgraph Federated Learning framework for distributed machine learning | 45 |