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How to handle client ids in Flower Next apps?
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3
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146
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March 22, 2024
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Issue while connecting the client to the server
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4
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187
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July 29, 2024
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Not clear how loss distributed is calculated
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2
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94
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June 11, 2024
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Hyperparameter Optimization with Optuna and Flower
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2
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87
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December 16, 2024
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Does Flower support Federated Transfer Learning (FTL)?
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2
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47
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July 11, 2024
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How can I run Federated Learning on a Raspberry Pi?
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1
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126
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February 26, 2024
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Announcing Flower 1.12
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0
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123
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October 14, 2024
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How to import Flower Android SDK to my project?
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1
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109
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March 1, 2024
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Do SecAgg related patents by universities and companies have any implications for flower?
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6
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145
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July 2, 2024
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How to import Flower iOS SDK to my project?
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1
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95
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March 1, 2024
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Are there Flower examples with CSV files?
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7
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37
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November 28, 2024
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Cannot load file containing pickled data
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0
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474
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February 21, 2024
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Confilct dependencies packages
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1
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59
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October 23, 2024
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Freeze certain modules of the model
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2
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105
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April 29, 2024
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How do I save the global model after training?
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2
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327
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March 1, 2024
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FedPSO Custom strategy
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3
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54
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September 30, 2024
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Upgrading to Flower NEXT
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3
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35
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August 5, 2024
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How to test data in VFL?
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2
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111
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April 12, 2024
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Metrics_distributed always stays empty {}
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1
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236
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March 5, 2024
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Does Flower support differential privacy?
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2
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199
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March 1, 2024
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Customized Client and Dataset
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2
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101
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September 18, 2024
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Do we have any discord channel
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2
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99
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April 26, 2024
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How do I start from a pre-trained model
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2
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195
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February 29, 2024
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Errors occur when using deep learning models
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8
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58
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October 24, 2024
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Loading a saved model in PyTorch - Confusion regarding the Weights and Parameters classes
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2
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175
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February 28, 2024
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How to avoid Flower Next from destroying my model on every fit and every evaluate
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5
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66
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December 21, 2024
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Aggregation process at server
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1
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133
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March 10, 2024
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Feedback on Federated Learning Uni-seminar Project
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0
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31
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July 30, 2024
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Custom client selection strategy
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0
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170
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February 21, 2024
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Debugging Flower
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2
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57
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October 31, 2024
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Does Flower support XGBoost training? What’s the bagging strategy based on?
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4
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125
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March 1, 2024
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How do i use the get_properties method on the server side?
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0
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193
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February 28, 2024
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Client models after federation
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0
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146
|
February 26, 2024
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Contributing to the Flower Github repository
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5
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46
|
November 11, 2024
|
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Does Flower support Federated Learning on Android devices?
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1
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157
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February 26, 2024
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Random number of clients in every round of federated training
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0
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144
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February 21, 2024
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Federated Learning with NVIDIA Jetson Xavier NX. Why one specific JetPack version?
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0
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136
|
February 28, 2024
|
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Does Flower support horizontal Split Learning?
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0
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140
|
February 21, 2024
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Can Flower run on Juptyter Notebooks / Google Colab?
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1
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139
|
February 26, 2024
|
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Where can I find example projects of Flower in action?
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3
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110
|
March 5, 2024
|
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Using MS COCO 2017 dataset for FL simulation
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3
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23
|
November 4, 2024
|
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Paper on bagging aggregation strategy used for XGBoost?
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0
|
141
|
February 29, 2024
|
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Using Linear Regression Model With Flower
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1
|
145
|
March 5, 2024
|
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Clarification on the "results" variable passed between aggregate_fit (server side) and fit (client side)
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0
|
130
|
February 21, 2024
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Sending truly arbritrary data from client to server
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|
5
|
41
|
October 27, 2024
|
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Running the advanced pytorch example in google colab
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|
2
|
17
|
December 16, 2024
|
|
Will Flower support tree models in the future?
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|
0
|
119
|
February 21, 2024
|
|
Announcing Flower 1.11.1
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|
0
|
23
|
September 12, 2024
|
|
Number of workers in simulated training
|
|
0
|
124
|
February 26, 2024
|
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Extending flwr to use sikit-learn XGBClassifier - Error when serializing/sending model coeficients
|
|
0
|
121
|
February 21, 2024
|