FedML VS openfl

Compare FedML vs openfl and see what are their differences.

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. (by FedML-AI)
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FedML openfl
6 4
4,052 657
1.8% 2.6%
9.9 8.5
6 days ago 13 days ago
Python Jupyter Notebook
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.

FedML

Posts with mentions or reviews of FedML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-22.

openfl

Posts with mentions or reviews of openfl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-22.

What are some alternatives?

When comparing FedML and openfl you can also consider the following projects:

federated-xgboost - Federated gradient boosted decision tree learning

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

alpa - Training and serving large-scale neural networks with auto parallelization.

FATE - An Industrial Grade Federated Learning Framework

experta - Expert Systems for Python

fedjax - FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

adaptdl - Resource-adaptive cluster scheduler for deep learning training.

sparktorch - Train and run Pytorch models on Apache Spark.

HandyRL - HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow

MetisFL - The first open Federated Learning framework implemented in C++ and Python.

FindTheMag - A tool to determine optimal projects for Gridcoin crunchers. Maximize your magnitude!