Comments (2)
Hi @edogab33 , thanks for opening this issue and propose contributing FLANDERS
. Please follow the guide in /baselines
to start with your baseline: https://github.com/adap/flower/tree/main/baselines. There you'll find linked a more detailed step-by-step guide if you need it (under the 'Contributing a new baseline' section). You can always refer to the baselines already in the new format as a reference.
Sorry if there was some confusion, the template assigned to baseline
issues is yet to be updated to reflect the new way of contributing baselines.
from flower.
Thanks for the references @jafermarq, I'm going to start working on it soon
from flower.
Related Issues (20)
- Can the implementation of FedXgbNnAvg only be used in Flower VCE? HOT 1
- ValueError: Object arrays cannot be saved when allow_pickle=False HOT 1
- Follow the tutorial but no response on both server side and client side HOT 2
- Per Batch Communication to Accomplish Synchronization HOT 2
- compatibility with mysql-connector-python 8.2.0
- (Example) XGBoost Comprehensive - Run in flwr simulation HOT 4
- No file/folder found for package quickstart-pytorch HOT 4
- Flower Example using scikit-learn: ERROR: Failed building wheel for numpy HOT 1
- When adaptive cropping, my l2 norm is very high HOT 2
- Vertical Federated learning example -- batch size & epoch? HOT 1
- Android cases cannot connect to the server HOT 4
- When i try to execute an example i get an error examples/dp-sgd-mnist
- FedAvg should instantiate a FitIns object for each sampled client HOT 2
- Add Flower Baseline: FedSim HOT 2
- [quickstart-pytorch] Produces a typeError in flower_datasets in client.py HOT 4
- Button not visible in Android HOT 1
- RuntimeError: Simulation crashed. HOT 2
- Connection between Server and clients in DIFFERENT network does not work properly HOT 1
- Error " iteration_indptr = bst_prev["learner"]["gradient_booster"]["model"][ KeyError: 'iteration_indptr'" in the server side when implementing the code on my own dataset HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from flower.