Announcing Flower 1.9
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1
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540
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June 13, 2024
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Hierarchical Federated Learning
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3
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150
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June 2, 2025
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Announcing Flower 1.10
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2
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395
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September 13, 2024
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Announcing Flower 1.13
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0
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105
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November 20, 2024
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Announcing Flower 1.14.0
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0
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87
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December 20, 2024
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Announcing Flower 1.15.0
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0
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247
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February 3, 2025
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Announcing Flower 1.11
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8
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218
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October 17, 2024
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Announcing Flower Datasets 0.2.0!
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0
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51
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July 9, 2024
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Announcing Flower 1.15.1
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0
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51
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February 5, 2025
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Announcing FlowerTune LLM Leaderboard
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0
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53
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October 22, 2024
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Announcing Flower Datasets 0.4.0
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0
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53
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October 22, 2024
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Announcing Flower Datasets 0.5.0!
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0
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48
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December 20, 2024
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Announcing Flower 1.16.0
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0
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44
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March 11, 2025
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Communicate List[Float] in fit() function from Clients
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2
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65
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October 26, 2024
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Early Stopping Implementation
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7
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208
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November 22, 2024
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Federated Baseline Contributions!
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6
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190
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May 9, 2025
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Stateful/Persistent clients in simulation context
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2
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123
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September 26, 2024
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How to prevent OOM error while training?
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3
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159
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August 5, 2024
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Quickstart-Pytorch with Docker Compose
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4
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141
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November 2, 2024
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How can I implement a YOLO model using the Flower framework?
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6
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224
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April 2, 2025
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Skeleton Project
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2
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37
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July 3, 2024
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Announcing Flower 1.18.0
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0
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74
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April 23, 2025
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Simulating Client Failure
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2
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128
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November 18, 2024
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How to dynamically update num_rounds on the server and ensure clients keep training
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3
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37
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February 21, 2025
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The figure is not fully displayed
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3
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36
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March 11, 2025
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Strategy with multiple communication rounds per iteration
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5
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88
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September 8, 2024
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Export metrics for prometheus
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5
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68
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March 1, 2025
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Are there Flower examples with CSV files?
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7
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104
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November 28, 2024
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Actor dies unexpectedly in Flower simulation on HPC
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1
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94
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February 22, 2025
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Hyperparameter Optimization with Optuna and Flower
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2
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143
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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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86
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July 11, 2024
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Issue while connecting the client to the server
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4
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305
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July 29, 2024
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Announcing Flower Datasets 0.3.0
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0
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36
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July 26, 2024
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Debugging Flower
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3
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174
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January 8, 2025
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How to launch Flower Next style simulation in multinodes
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1
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73
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September 18, 2024
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Address used in pyproject.toml
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3
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54
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February 26, 2025
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Not clear how loss distributed is calculated
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2
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119
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June 11, 2024
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Confilct dependencies packages
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1
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102
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October 23, 2024
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Regarding Flower Datasets
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2
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20
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March 5, 2025
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problem with set_weights
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4
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107
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April 24, 2025
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BlockFL implementation
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0
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22
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March 3, 2025
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Announcing Flower 1.12
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0
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142
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October 14, 2024
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FedPSO Custom strategy
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3
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87
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September 30, 2024
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Increasing or in general suspicious high loss after first round of training
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8
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56
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January 27, 2025
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Questions about DP in Flower
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1
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52
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February 17, 2025
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Upgrading to Flower NEXT
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3
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54
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August 5, 2024
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Connection error in secure mode
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7
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167
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December 3, 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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124
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December 21, 2024
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Feedback on Federated Learning Uni-seminar Project
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0
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81
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July 30, 2024
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Errors occur when using deep learning models
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8
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90
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October 24, 2024
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