fednp
Federated Learning Framework
A framework for non-IID federated learning via neural propagation
6 stars
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2 forks
Language: Python
last commit: almost 2 years ago Related projects:
Repository | Description | Stars |
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kai-yue/ntk-fed | A framework for federated learning that leverages the neural tangent kernel to address statistical heterogeneity in distributed machine learning. | 3 |
ibm/federated-learning-lib | A framework for collaborative distributed machine learning in enterprise environments. | 499 |
charliedinh/pfedme | An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation. | 289 |
scaleoutsystems/fedn | An open source federated learning framework designed to be secure, scalable and easy-to-use for enterprise environments | 143 |
yutong-dai/fednh | An implementation of a federated learning framework for handling data heterogeneity in decentralized settings | 38 |
yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 133 |
lxcnju/fedrepo | An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications. | 174 |
haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 17 |
jichan3751/ifca | A framework for decentralized collaborative learning across multiple clusters with efficient communication and data management strategies. | 105 |
omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 154 |
bdemo/pfedbred_public | A project that proposes a novel federated learning approach to address the issue of incomplete information in personalized machine learning models | 8 |
atuannguyen/fedsr | An implementation of a domain generalization method for federated learning using Python and PyTorch | 26 |
federatedai/fate-client | Provides tools and APIs for designing, scheduling, and running federated machine learning jobs in a secure and efficient manner. | 3 |
pengyang7881187/fedrl | Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data | 54 |
idanachituve/pfedgp | An implementation of Personalized Federated Learning with Gaussian Processes using Python. | 32 |