distributed-learning-contributivity/config_quick_debug.yml at master · arthurPignet/distributed-learning-contributivity · GitHub

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experiment_name: debug_config
n_repeats: 1
scenario_params_list:
 - dataset:
     'mnist':
       - 'random_initialization'
   partners_count:
     - 3
   amounts_per_partner:
     - [ 0.2, 0.5, 0.3 ]
   samples_split_option:
     - 'random'
     - 'stratified'
     - [ 'advanced', [ [ 4, 'shared' ], [ 6, 'shared' ], [ 4, 'specific' ] ] ]
   multi_partner_learning_approach:
     - 'fedavg'
   aggregation:
     - 'uniform'
   contributivity_methods:
     - [ "Federated SBS constant", "Federated SBS linear", "Federated SBS quadratic", "Shapley values", "Independent scores", "TMCS" ]
   gradient_updates_per_pass_count:
     - 5
   is_quick_demo:
    - True
   dataset_proportion:
    - 1
   epoch_count:
    - 2
   minibatch_count:
    - 2