flpytorch VS FederatedScope

Compare flpytorch vs FederatedScope and see what are their differences.

flpytorch

FL_PyTorch: Optimization Research Simulator for Federated Learning (by burlachenkok)
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flpytorch FederatedScope
1 2
35 1,198
- 3.1%
4.1 4.5
10 months ago 19 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

flpytorch

Posts with mentions or reviews of flpytorch. We have used some of these posts to build our list of alternatives and similar projects.

FederatedScope

Posts with mentions or reviews of FederatedScope. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing flpytorch and FederatedScope you can also consider the following projects:

FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

openfl - An open framework for Federated Learning.

FATE - An Industrial Grade Federated Learning Framework

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.

breaching - Breaching privacy in federated learning scenarios for vision and text

PySyft - Perform data science on data that remains in someone else's server

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]