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Announcing Flower 1.36.0
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0
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16
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September 1, 2026
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Announcing Flower 1.35.0
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0
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31
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August 25, 2026
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Announcing Flower 1.34.0
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0
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28
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August 19, 2026
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Announcing Flower 1.33.0
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0
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45
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August 5, 2026
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'Hello world' example of Flower Framework
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1
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38
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July 6, 2026
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Announcing Flower 1.32.1
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0
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33
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July 1, 2026
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Announcing Flower 1.32.0
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0
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41
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June 25, 2026
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Unable to run the last part of the PyTorch tutorial, Communicating Arbitrary Objects
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1
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38
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June 14, 2026
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Gossip Learning Simulation
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2
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44
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June 12, 2026
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Announcing Flower 1.31.0
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0
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43
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June 8, 2026
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Announcing Flower 1.30.0
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0
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51
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May 20, 2026
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Flower run toy examples error.
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3
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88
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May 11, 2026
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Federated learning using Supergrid - Different systems
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1
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52
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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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76
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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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104
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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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47
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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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65
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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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182
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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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36
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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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198
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February 6, 2026
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Hybrid frameworks
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1
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289
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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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2
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229
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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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104
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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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6
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614
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January 12, 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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3
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442
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January 12, 2026
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Can Flower send files from the server to clients?
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0
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164
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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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1
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180
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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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1
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123
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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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280
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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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121
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December 2, 2025
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