Robust_FL
by FangXiuwen
AI summary
Federated Learning Framework
An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning.
- stars
- 43
- forks
- 8
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Federated learning framework
An implementation of Fair and Consistent Federated Learning using Python.
Shift robust FL framework
A framework for personalized federated learning that improves shift-robustness with minimal extra training overhead
Federated Learning Framework
A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems.
Federated Learning Framework
Evaluates various methods for federated learning on different models and tasks.
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 tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning
Federated Learning Framework
A framework for collaborative learning across multiple tasks and datasets in a distributed manner
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 collaborative distributed machine learning in enterprise environments.
Federated learning method
A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness
FL Framework
Provides a framework and theoretical foundation for Federated Reinforcement Learning with Byzantine Resilience in distributed systems
Federated Learning Framework
An open source federated learning framework designed to be secure, scalable and easy-to-use for enterprise environments
Federated Learning framework
An implementation of heterogeneous federated learning with parallel edge and server computation
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.