About the Flower Help - Intermediate category
|
|
0
|
94
|
February 14, 2024
|
Model aggregation before all clients have finished the round
|
|
0
|
7
|
January 22, 2025
|
Increasing or in general suspicious high loss after first round of training
|
|
7
|
30
|
January 20, 2025
|
Problem with BatchNormalization more precise with num_batches_tracked
|
|
2
|
30
|
January 4, 2025
|
Scaffold implementation
|
|
6
|
60
|
December 30, 2024
|
Server still waiting while all clients crashes?
|
|
1
|
26
|
December 21, 2024
|
Running the advanced pytorch example in google colab
|
|
2
|
21
|
December 16, 2024
|
How can I implement a YOLO model using the Flower framework?
|
|
3
|
63
|
November 25, 2024
|
Early Stopping Implementation
|
|
7
|
80
|
November 22, 2024
|
Clustered Federated Learning
|
|
2
|
36
|
November 20, 2024
|
Using MS COCO 2017 dataset for FL simulation
|
|
3
|
25
|
November 4, 2024
|
Sending truly arbritrary data from client to server
|
|
5
|
43
|
October 27, 2024
|
Stateful/Persistent clients in simulation context
|
|
2
|
91
|
September 26, 2024
|
How to prevent OOM error while training?
|
|
3
|
91
|
August 5, 2024
|
How to return aggregated confusion matrix and classification report
|
|
3
|
146
|
May 31, 2024
|
Persisting client class attributes within a single FL round
|
|
2
|
146
|
April 30, 2024
|
Server-Edges-Clients Settings
|
|
3
|
220
|
April 30, 2024
|
Freeze certain modules of the model
|
|
2
|
105
|
April 29, 2024
|
MLX send / get model parameters of complex model
|
|
5
|
191
|
March 23, 2024
|
How to handle client ids in Flower Next apps?
|
|
3
|
154
|
March 22, 2024
|
How to get the model parameters without aggregating?
|
|
7
|
177
|
March 22, 2024
|
How to control my updates to the server?
|
|
4
|
137
|
March 22, 2024
|
Issue with test-baseline.sh
|
|
1
|
98
|
March 21, 2024
|
Sending a large message to Edge Devices
|
|
2
|
130
|
March 21, 2024
|
Clarification on the "results" variable passed between aggregate_fit (server side) and fit (client side)
|
|
0
|
132
|
February 21, 2024
|
Random number of clients in every round of federated training
|
|
0
|
145
|
February 21, 2024
|
Implementing leave-one-out cross-validation (LOOCV). How do I configure clients?
|
|
0
|
109
|
February 28, 2024
|
Custom client selection strategy
|
|
0
|
172
|
February 21, 2024
|
Implementing SecAggPlus into my Flower for both simulation and production scenarios
|
|
0
|
118
|
February 28, 2024
|
How do I write a custom client selection protocol?
|
|
2
|
146
|
March 1, 2024
|