FedNH
by Yutong-Dai
Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.
AI summary
Federated Learning Framework
An implementation of a federated learning framework for handling data heterogeneity in decentralized settings
- stars
- 38
- forks
- 11
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Federated Learning Framework
Develops an alignment framework for federated learning with non-identical client class sets
Federated Learning Framework
An implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol.
Federated Learning Framework
A framework for federated learning that leverages the neural tangent kernel to address statistical heterogeneity in distributed machine learning.
Federated Learning Framework
A framework for non-IID federated learning via neural propagation
Federated Learning Framework
A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems.
Federated learning library
An implementation of federated learning with prototype-based methods across heterogeneous clients
Federated Learning Framework
Evaluates various methods for federated learning on different models and tasks.
Federated Learning Framework
An implementation of a heterogenous federated learning framework using model distillation.
Federated Learning Framework
Personalized Subgraph Federated Learning framework for distributed machine learning
Federated Learning Algorithm
An implementation of a federated learning algorithm for training Graph Convolutional Networks on semi-supervised node classification tasks.
Federated Learning Framework
Develops a framework to balance competing goals in federated learning by decoupling generic and personalized prediction tasks.
Federated Learning Framework
A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning
Federated Learning Framework
An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning.
Federated Learning Framework
A framework for collaborative distributed machine learning in enterprise environments.
Federated Learning Method
An implementation of a domain generalization method for federated learning using Python and PyTorch