EF_HC
by ShahryarBQ
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds
AI summary
Decentralized Learning System
A decentralized learning system that enables distributed data sharing and model updates among devices with varying network communication capabilities.
- stars
- 2
- forks
- 1
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Federated Learning Framework
An implementation of a federated learning framework for handling data heterogeneity in decentralized settings
Federated Learning Framework
A framework for collaborative distributed machine learning in enterprise environments.
Federated Learning Framework
Evaluates various methods for federated learning on different models and tasks.
Federated Learning Library
An implementation of efficient federated learning algorithms for heterogeneous clients
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 personalized federated learning to balance fairness and robustness in decentralized machine learning systems.
Federated learning framework
Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.
Federated Learning Framework
A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning
Federated Learning Library
An implementation of Personalized Federated Learning with Gaussian Processes using Python.
Federated learning platform
A decentralized federated learning framework based on blockchain and PyTorch.
Decentralized ML framework
A framework for developing and testing decentralized machine learning algorithms
Federated Learning Framework
Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models.
Federated Learning System
An implementation of semi-supervised federated learning for improving the performance of a server using distributed clients with unlabeled data
Federated Learning Framework
An open-source framework for decentralized federated learning with wait-free model communication
Federated Learning Algorithms
Implementation of various federated learning algorithms to mitigate dimensional collapse in heterogeneous federated learning environments