FED-PUB
Federated Learning Framework
Personalized Subgraph Federated Learning framework for distributed machine learning
Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
45 stars
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9 forks
Language: Jupyter Notebook
last commit: about 3 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 mediabrain-sjtu/pfedgraph | 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 |
 omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
 jiayunz/fedalign | Develops an alignment framework for federated learning with non-identical client class sets | 4 |
 litian96/ditto | A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 138 |
 pengyang7881187/fedrl | Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data | 56 |
| omarfoq/knn-per | A federated learning framework with personalized memorization using deep neural networks and k-nearest neighbors for collaborative learning of statistical models | 43 |
 krishnap25/fl_partial_personalization | A framework for federated learning with partial model personalization | 2 |
| mediabrain-sjtu/fedgela | This project enables federated learning across partially class-disjoint data with curated bilateral curation. | 11 |
 yutong-dai/fednh | An implementation of a federated learning framework for handling data heterogeneity in decentralized settings | 38 |
 ibm/federated-learning-lib | A framework for collaborative distributed machine learning in enterprise environments. | 500 |
 dawenzi098/sfl-structural-federated-learning | A Python implementation of Personalized Federated Learning with Graph using PyTorch. | 49 |
 sungwon-han/fedx | An unsupervised federated learning algorithm that uses cross knowledge distillation to learn meaningful data representations from local and global levels. | 69 |
 jhoon-oh/fedbabu | An implementation of federated learning algorithm for image classification | 50 |
 smilelab-fl/fedlab | A flexible framework for distributed machine learning where participants train local models and collaboratively optimize them without sharing data | 743 |
 haoyuzhao123/soteriafl | Numerical experiments for private federated learning with communication compression algorithms | 7 |