config.yml

experiment_name: my_example
n_repeats: 5
scenario_params_list:
 - dataset:
     - 'mnist'
     - 'cifar10'
   partners_count:
     - 3
   amounts_per_partner:
     - [ 0.4, 0.3, 0.3 ]
   samples_split_option:
     - 'random' 
     - 'stratified' 
     - [ 'advanced', [ [ 4, 'shared' ], [ 6, 'shared' ], [ 4, 'specific' ] ] ]
   multi_partner_learning_approach:
     - 'fedavg'
     - 'seq-pure'
     - 'seq-with-final-agg'
     - 'seqavg'
   aggregation:
     - 'data-volume'
     - 'uniform'
   epoch_count: 
     - 38
   contributivity_methods:
     - [ "Shapley values", "Independent scores", "TMCS" ]
   minibatch_count: 
     - 20
   gradient_updates_per_pass_count:
     - 8
   dataset_proportion:
     - 1
 - dataset:
     - 'mnist'
   partners_count:
     - 2
   amounts_per_partner: 
     - [0.5, 0.5]
   samples_split_option:
     - 'stratified'
   multi_partner_learning_approach:
     - 'fedavg'
   aggregation: 
     - 'data-volume' 
     - 'uniform'
   epoch_count: 
     - 50
   contributivity_methods:
     - ["Shapley values", "SMCS", "IS_lin_S", "IS_reg_S"]
   minibatch_count: 
     - 10
   gradient_updates_per_pass_count:
     - 5
   dataset_proportion:
     - 1