|
Experiment architecture with the new flwr tool
|
|
2
|
165
|
May 20, 2025
|
|
How can I train more than one model on the server and send different parameters to different clients?
|
|
0
|
91
|
April 22, 2025
|
|
Not sure how to implement SecAgg(+) in this FL
|
|
1
|
137
|
April 18, 2025
|
|
Non-determinism only when number of clients is increased
|
|
4
|
270
|
March 25, 2025
|
|
Problem with BatchNormalization more precise with num_batches_tracked
|
|
3
|
205
|
March 7, 2025
|
|
Server still waiting while all clients crashes?
|
|
2
|
280
|
March 5, 2025
|
|
Address used in pyproject.toml
|
|
3
|
186
|
February 26, 2025
|
|
Actor dies unexpectedly in Flower simulation on HPC
|
|
1
|
306
|
February 22, 2025
|
|
How to dynamically update num_rounds on the server and ensure clients keep training
|
|
2
|
167
|
February 21, 2025
|
|
Model aggregation before all clients have finished the round
|
|
0
|
133
|
January 22, 2025
|
|
Increasing or in general suspicious high loss after first round of training
|
|
7
|
403
|
January 20, 2025
|
|
Scaffold implementation
|
|
5
|
559
|
December 30, 2024
|
|
Running the advanced pytorch example in google colab
|
|
1
|
227
|
December 16, 2024
|
|
Early Stopping Implementation
|
|
6
|
556
|
November 22, 2024
|
|
Clustered Federated Learning
|
|
2
|
400
|
November 20, 2024
|
|
Using MS COCO 2017 dataset for FL simulation
|
|
2
|
181
|
October 28, 2024
|
|
Sending truly arbritrary data from client to server
|
|
5
|
223
|
October 27, 2024
|
|
Stateful/Persistent clients in simulation context
|
|
2
|
275
|
September 26, 2024
|
|
How to prevent OOM error while training?
|
|
3
|
435
|
August 5, 2024
|
|
How to return aggregated confusion matrix and classification report
|
|
2
|
327
|
May 24, 2024
|
|
Server-Edges-Clients Settings
|
|
2
|
424
|
April 30, 2024
|
|
Freeze certain modules of the model
|
|
1
|
170
|
April 29, 2024
|
|
MLX send / get model parameters of complex model
|
|
4
|
645
|
March 23, 2024
|
|
How to handle client ids in Flower Next apps?
|
|
2
|
395
|
March 22, 2024
|
|
How to get the model parameters without aggregating?
|
|
6
|
517
|
March 22, 2024
|
|
How to control my updates to the server?
|
|
4
|
287
|
March 22, 2024
|
|
Issue with test-baseline.sh
|
|
1
|
186
|
March 21, 2024
|
|
Sending a large message to Edge Devices
|
|
1
|
265
|
March 21, 2024
|
|
Clarification on the "results" variable passed between aggregate_fit (server side) and fit (client side)
|
|
0
|
237
|
February 21, 2024
|
|
Random number of clients in every round of federated training
|
|
0
|
202
|
February 21, 2024
|