FCFL
by cuis15
AI summary
Federated learning framework
An implementation of Fair and Consistent Federated Learning using Python.
- stars
- 20
- forks
- 1
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Federated Learning Framework
A framework for collaborative distributed machine learning in enterprise environments.
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 personalized federated learning to balance fairness and robustness in decentralized machine learning systems.
Federated Learning Framework
A framework for collaborative learning across multiple tasks and datasets in a distributed manner
Federated learning framework
An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications.
Federated Learning Framework
Evaluates various methods for federated learning on different models and tasks.
Federated Learning Framework
A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning
Clustered Federated Learning Framework
A framework for decentralized collaborative learning across multiple clusters with efficient communication and data management strategies.
Federated Learning framework
An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources.
Collaborative Learning Framework
A Python framework for collaborative machine learning without sharing sensitive data
Federated learning frameworks
An implementation of various federated learning algorithms with a focus on communication efficiency, robustness, and fairness.
Federated Learning Framework
An implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol.
Federated learning framework
An implementation of a federated learning method to optimize multiple models simultaneously while maintaining user privacy.
CVPR 2022 Implementation
A PyTorch implementation of Federated Class-Incremental Learning for Continual Learning in Computer Vision
Federated learner
An adaptive federated learning framework for heterogeneous clients with resource constraints.