federated-xgboost
Federated gradient boosted decision tree learning (by mc2-project)
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)
Our great sponsors
| federated-xgboost | FedML | |
|---|---|---|
| 1 | 6 | |
| 64 | 4,060 | |
| - | 1.9% | |
| 1.2 | 9.9 | |
| about 1 year ago | 4 days ago | |
| C++ | Python | |
| - | 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.
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.
federated-xgboost
Posts with mentions or reviews of federated-xgboost.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-22.
-
Federated XGBoost
Have you seen this github repo? https://github.com/mc2-project/federated-xgboost
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.
-
[Experiment] The future of AI is open-source, and here is the plan
FedML https://github.com/FedML-AI/FedML might already provide a lot of tools to do the job
- Awesome-Federated-Learning: A curated list of federated learning publications, re-organized from Arxiv (mostly).
-
Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data
This is not new at all. There is a much stronger competitor existing in the market already: FedML (https://fedml.ai). They have a much larger open-source community, and a well-managed and widely-used MLOps (https://open.fedml.ai).
-
FedML has just released its completely revamped and redesigned AI Platform and Website.
Website: https://fedml.ai Platform: https://open.fedml.ai/
- FedML AI platform releases the world’s federated learning open platform on the public cloud with an in-depth introduction of products and technologies!
- [Discussion] How feasible is it to partition a DNN model into pieces?
What are some alternatives?
When comparing federated-xgboost and FedML you can also consider the following projects:
flower - Flower: A Friendly Federated Learning Framework
alpa - Training and serving large-scale neural networks with auto parallelization.