Comments (5)
@vaseline555 I've tested the updated version, and they work as expected now.
from federated-learning-in-pytorch.
Thank you for your clarification @imguangyu !
This fix is to be reflected in this week.
Hope you have a nice week.
๊ณ ๋ง์์~
from federated-learning-in-pytorch.
Dear @imguangyu ,
Thank you for your valuable point!
(... and sorry for late reply)
Oops, I didn't even notice this situation
(TBH, I've once implemented this repo. with ray
, but to minimize dependency on other package, I naively translated into ThreadPoolExecutor
... yes, it was a spaghetti code ๐)
I wonder if you've tried with the code snippet that ChatGPT suggested.
Upon that modification, is the multi-threading work as expected?
I'll reflect your hotfix ASAP.
Thank you!
from federated-learning-in-pytorch.
Closed by mistake.
from federated-learning-in-pytorch.
Your correction is now reflected!
Thank you again. ๐
from federated-learning-in-pytorch.
Related Issues (19)
- when num_clients =1000, shards_per_clients=0, and there is a ValueError! HOT 1
- Implemented aggregation is different from the description in McMahan 2016 paper HOT 2
- Set a different number of Clients when using LEAF dataset HOT 1
- AttributeError: 'FedavgServer' object has no attribute 'lr_scheduler' HOT 5
- Type error for `_request()` HOT 2
- Thank you very much for your kind contribution. I am using your FL architecture for my research purposes. But i have a concern: why the accuracy of training with iid datasets is lower than patho and diri dataset? would you explain the reason? in theory the accuracy of training a ML model with iid is expected to have higher accuracy. HOT 14
- About Dirichlet non-iid Partition HOT 3
- Clients won't download server model under the global evaluation HOT 2
- Is there any plan to implement DITTO Algorithm?
- maximum recursion depth exceeded while calling a Python object error HOT 3
- Sent140 Dataset
- ๆ่ฟ่กcifar10ๆฐๆฎ้ๅบ็ฐ้่ฏฏ๏ผ่ฏฅๆไน่งฃๅณ HOT 1
- undefined variable error HOT 1
- AssertionError: Invalid device id HOT 2
- Looking forward to the introduction, clear code on the CIFAR dataset! HOT 2
- The accuracy on Cifar10 may be low. HOT 3
- Datasets location HOT 2
- Instructions to run on separate server/client devices? HOT 5
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ 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. ๐๐๐
-
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 โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from federated-learning-in-pytorch.