federated-xgboost
breaching
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| federated-xgboost | breaching | |
|---|---|---|
| 1 | 1 | |
| 64 | 241 | |
| - | - | |
| 1.2 | 0.0 | |
| about 1 year ago | 11 days ago | |
| C++ | Python | |
| - | MIT License |
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federated-xgboost
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Federated XGBoost
Have you seen this github repo? https://github.com/mc2-project/federated-xgboost
breaching
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[P] Here's our new framework for Privacy Attacks in Federated Learning
We recently uploaded our framework for privacy attacks in federated learning. You can find it here: https://github.com/JonasGeiping/breaching. We include a sizable number of known attacks for deep neural networks in vision and text domains and some new ones.
What are some alternatives?
flower - Flower: A Friendly Federated Learning Framework
FederatedScope - An easy-to-use federated learning platform
FedML - 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, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.
FATE - An Industrial Grade Federated Learning Framework
secure-xgboost - Secure collaborative training and inference for XGBoost.
pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]
mc2 - A Platform for Secure Analytics and Machine Learning
FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.