🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
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Updated
Jun 6, 2024 - Python
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
Flower: A Friendly Federated Learning Framework
HeFlwr: Federated Learning for Heterogeneous Devices
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
This repository contains the hub packages & services of FLAME.
Federated data Preprocessing via aggregated Statistics
NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
This is a code repository for a paper with title "Vulnerabilities of Federated Learning-Based Network Traffic Classification in Edge Computing Environment: A Study"
A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings
Depression detection with federated learning
Vantage6 algorithm that retrieves the descriptive information of triplestores in a collaboration
Perform data science on data that remains in someone else's server
A Federated Learning based architecture for training a PPO agent that learns to play Gin Rummy.
A unified framework for privacy-preserving data analysis and machine learning
[IJCAI 2024] Redefining Contributions: Shapley-Driven Federated Learning
The first open Federated Learning framework implemented in C++ and Python.
Simulation framework for accelerating research in Private Federated Learning
Federated implementation of a CNN to predict brain age from MRI-derived gray matter
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