Federated-Learning-Backdoor
ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341 (by jhcknzzm)
CommEfficient
PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms (by kiddyboots216)
| Federated-Learning-Backdoor | CommEfficient | |
|---|---|---|
| 1 | 2 | |
| 56 | 69 | |
| - | - | |
| 1.1 | 0.0 | |
| about 1 year ago | over 2 years ago | |
| Python | Python | |
| - | - |
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-Learning-Backdoor
Posts with mentions or reviews of Federated-Learning-Backdoor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-11.
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[R] Correct way to implement client-level DP in Federated Learning
Take a look at https://github.com/kiddyboots216/CommEfficient (branch -> attacks) and https://github.com/jhcknzzm/Federated-Learning-Backdoor
CommEfficient
Posts with mentions or reviews of CommEfficient.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-11.
-
[R] Correct way to implement client-level DP in Federated Learning
Take a look at https://github.com/kiddyboots216/CommEfficient (branch -> attacks) and https://github.com/jhcknzzm/Federated-Learning-Backdoor
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[D] Federated Learning Libraries in 2022?
The libraries I've worked on for Simulation and Production might fit your usecase depending on what your experiment is. I have worked with all the libraries you've mentioned and generally did not feel that they were conducive to the FL research that I do, but without knowing more details about what your experiment is I can't say much more.
What are some alternatives?
When comparing Federated-Learning-Backdoor and CommEfficient you can also consider the following projects:
flower - Flower: A Friendly Federated Learning Framework
FATE - An Industrial Grade Federated Learning Framework