AI/ ML papers in DBLP/ arXiv
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Updated
May 16, 2024 - Python
AI/ ML papers in DBLP/ arXiv
Papers related to federated learning in top conferences (2020-2024).
Perform data science on data that remains in someone else's server
Flower framework for Federated Learning, with Fully Homomorphic Encryption integrated
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
Track Federated Learning Papers
Flower: A Friendly Federated Learning Framework
FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
Nerlnet is a distributed machine learning platform for experiments and IoT deployment.
Decentralized & federated privacy-preserving ML training, using p2p networking, in JS
Framework that supports pipeline federated split learning with multiple hops.
An open framework for Federated Learning.
A unified framework for privacy-preserving data analysis and machine learning
HeFlwr: Federated Learning for Heterogeneous Devices
This repository contains the hub packages & services of FLAME.
Paddle with Decentralized Trust based on Xuperchain
FEDn: A production-grade, open federated learning framework. This repository contains the open source Python framework, CLI and API.
Federated data Preprocessing via aggregated Statistics
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