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Flower run toy examples error.
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1
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4
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April 17, 2026
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Federated learning using Supergrid - Different systems
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1
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3
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April 17, 2026
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Announcing Flower 1.29.0
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0
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21
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April 12, 2026
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ClientApp with multigpu training from pytorch lightning
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3
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32
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April 4, 2026
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Announcing Flower 1.28.0
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0
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19
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April 2, 2026
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Announcing Flower 1.27.0
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0
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38
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March 10, 2026
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Running two or more trainings in parallel
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3
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130
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March 4, 2026
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Announcing Flower 1.26.1
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0
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23
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February 9, 2026
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Announcing Flower 1.26.0
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0
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153
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February 6, 2026
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Hybrid frameworks
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1
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242
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January 27, 2026
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Simulation succeeding, but only showing eval metric (no train metric)
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3
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188
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January 17, 2026
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How to use multiple datasets to train heterogeneous clients?
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2
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56
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January 16, 2026
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Client selection in a single Flower federation with persistent client identities and metadata-based sampling
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7
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526
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January 19, 2026
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I was reviewing the train function in the quickstart-pytorch example and noticed a logical issue in how the average training loss is calculated.
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4
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397
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January 19, 2026
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Can Flower send files from the server to clients?
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0
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140
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January 5, 2026
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Seeking examples of GetPropertiesIns. Besides, can heterogeneous FL be implemented via Flower?
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2
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149
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January 1, 2026
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Seeking examples of GetPropertiesIns. Besides, can heterogeneous FL be implemented via Flower?
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2
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82
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January 1, 2026
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Announcing Flower 1.25.0
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0
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236
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December 16, 2025
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the problem on docker when using flower
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1
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61
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December 2, 2025
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Announcing Flower 1.24.0
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1
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123
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December 1, 2025
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User authentication not anbled in superlink
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3
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69
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November 27, 2025
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Announcing Flower 1.23.0
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0
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101
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November 3, 2025
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Concurrent gRPC calls.
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1
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68
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October 30, 2025
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What is the difference between flwr.server and flwr.serverapp?
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2
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101
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October 23, 2025
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Hierarchical Federated Learning
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9
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959
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October 15, 2025
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flower-NLP-Raspberry PI
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8
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148
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October 9, 2025
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Announcing Flower 1.22.0
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0
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143
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September 22, 2025
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issue in dependency
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1
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77
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September 11, 2025
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Announcing Flower 1.21.0
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0
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126
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September 10, 2025
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Clients not initializing in authexample
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8
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119
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August 19, 2025
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