| building_your_own_federated_learning_algorithm.ipynb | 49.1 KB | |
| composing_learning_algorithms.ipynb | 26.9 KB | |
| custom_aggregators.ipynb | 41.3 KB | |
| custom_federated_algorithm_with_tff_optimizers.ipynb | 23.2 KB | |
| custom_federated_algorithms_1.ipynb | 66.3 KB | |
| custom_federated_algorithms_2.ipynb | 52.8 KB | |
| federated_learning_for_image_classification.ipynb | 73.1 KB | |
| federated_learning_for_text_generation.ipynb | 33.2 KB | |
| federated_learning_with_differential_privacy.ipynb | 144.6 KB | |
| federated_reconstruction_for_matrix_factorization.ipynb | 193.4 KB | |
| federated_select.ipynb | 11.7 KB | |
| private_heavy_hitters.ipynb | 17.9 KB | |
| random_noise_generation.ipynb | 23.6 KB | |
| simulations.ipynb | 9.3 KB | |
| simulations_with_accelerators.ipynb | 59.1 KB | |
| sparse_federated_learning.ipynb | 52.2 KB | |
| tff_for_federated_learning_research_compression.ipynb | 26.9 KB | |
| tuning_recommended_aggregators.ipynb | 24.7 KB | |
| tutorials_overview.md | 5.3 KB | |
| working_with_client_data.ipynb | 27.4 KB | |
