FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
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FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, making collaborative AI model training possible without reliance on central servers.
NEBULA: A Platform for Decentralized Federated Learning
Fedstellar: A Platform for Decentralized Federated Learning
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
A decentralized/P2P federated learning library
Scatter Protocol: An Incentivized and Trustless Protocol for Decentralized Federated Learning - Accepted to IEEE International Conference on Blockchain
SWIFT: Shared WaIt Free Transmission
Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis
Experimental Python framework for federated learning research. Focuses on robustness, security, and attack mitigation, with simulation tools and evaluation scripts. Actively developed—features and results may change.
Evaluation of SyDAG-FL: a Sybil-resistant Federated Learning Approach based on Directed Acyclic Graphs
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