FSL-SAGE/inference/exp_config.yaml at master · srijith1996/FSL-SAGE · GitHub

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prefix_dir : ../saves
plots_dir  : ../plots
plots      : True
table      : True

name_folder:
  FedAvg : fed_avg
  SplitFed-MS : sl_multi_server
  SplitFed-SS : sl_single_server
  CSE-FSL : cse_fsl
  FSL-SAGE : fsl_sage

experiments:
  cifar10/simpleconv_linaux/iid:
    disable : true
    title : CIFAR10; iid; SimpleConv; LinearAux
    desc  : Simple convolutional classifier model with a linear auxiliary network
    test_ids: [0, 1, 2, 3, 4]
    model : simple_conv
    dataset : cifar10
    distribution : iid
    save_locs:
      FedAvg    : R200m3E1B128-seed200/241215-111308
      SplitFed-MS  : R200m3E1B128-seed200/241215-111308
      SplitFed-SS  : R200m3E1B128-seed200/241215-111308
      CSE-FSL   : R200m3E1B128q5-seed200/241221-220456
      FSL-SAGE  : R200m3E1B128q5l10-seed200/241222-142715

  cifar10/simpleconv_linaux/noniid:
    disable : true
    title : CIFAR10; noniid; SimpleConv; LinearAux
    desc  : Simple convolutional classifier model with a linear auxiliary network, on non-iid partitioned CIFAR10
    test_ids: [0, 1, 2, 3, 4]
    model : simple_conv
    dataset : cifar10
    distribution : noniid
    save_locs:
      FedAvg    : R200m3E1B128-seed200/241215-181350
      SplitFed-MS  : R200m3E1B128-seed200/241215-181350
      SplitFed-SS  : R200m3E1B128-seed200/241215-181350
      CSE-FSL   : R200m3E1B128q5-seed200/241215-181350
      FSL-SAGE  : R200m3E1B128q5l10-seed200/241215-181350

  cifar10/simpleconv_2layeraux:
    disable : true
    full_dirs : true
    title : SimpleConv; 2LayerAux
    desc  : Effect of auxiliary model size with 1 and 2 layer auxiliary networks
    test_ids : [0, 1, 2, 3]
    save_locs:
      CSE-FSL (Aux1)  : cse_fsl/simple_conv/cifar-iid/U3E1BR5L10-200/241206-012005
      FSL-SAGE (Aux1) : fsl_sage/simple_conv/cifar-iid/U3E1BR5L10-200/241206-012109
      CSE-FSL (Aux2)  : cse_fsl/simple_conv/cifar-iid/U3E1BR5L10-200/241206-013049
      FSL-SAGE (Aux2) : fsl_sage/simple_conv/cifar-iid/U3E1BR5L10-200/241206-021238
    result_files:
      CSE-FSL (Aux1)  : results
      FSL-SAGE (Aux1) : results
      CSE-FSL (Aux2)  : results
      FSL-SAGE (Aux2) : results

  cifar10/resnet18/iid:
    disable : true
    title : CIFAR10; iid, Resnet18; Cut@L3
    desc  : Resnet18 cut at Layer 3 and run for 500 rounds
    test_ids : [0, 1, 2, 3, 4]
    model : resnet18
    dataset: cifar10
    distribution: iid
    save_locs:
      FedAvg    : R200m3E1B128-seed200/241215-111941
      SplitFed-MS  : R200m3E1B128-seed200/241215-113251
      SplitFed-SS  : R200m3E1B128-seed200/241215-112611
      CSE-FSL   : R200m3E1B128q5-seed200/241215-115901
      FSL-SAGE  : R200m3E1B128q5l10-seed200/241215-115904

  cifar10/resnet18/noniid:
    disable : true
    title : CIFAR10; noniid, Resnet18; Cut@L3
    desc  : Resnet18 cut at Layer 3 and run for 500 rounds for non-iid client data
    test_ids : [0, 1, 2, 3, 4]
    model : resnet18
    dataset : cifar10
    distribution: noniid
    save_locs:
      FedAvg    : R200m3E1B128-seed200/241215-181350
      SplitFed-MS  : R200m3E1B128-seed200/241215-181350
      SplitFed-SS  : R200m3E1B128-seed200/241215-181350
      CSE-FSL   : R200m3E1B128q5-seed200/241215-185921
      FSL-SAGE  : R200m3E1B128q5l10-seed200/241215-190000

  cifar10/simpleconv_alignment_ablation:
    disable : true
    full_dirs: true
    title : Effect of Alignment Interval
    desc  : Effect of alignment interval tested for 2, 5, 10, and 20 rounds, with linear aux model and on CIFAR-10
    test_ids : [0, 1, 2, 3]
    save_locs:
      $l=2$   : fsl_sage/simple_conv/cifar-iid/U3E1BR5L2-200/241206-015359
      $l=5$   : fsl_sage/simple_conv/cifar-iid/U3E1BR5L5-200/241206-015431
      $l=10$  : fsl_sage/simple_conv/cifar-iid/U3E1BR5L10-200/241206-012109
      $l=20$  : fsl_sage/simple_conv/cifar-iid/U3E1BR5L20-200/241206-015629
    result_files:
      $l=2$   :  results
      $l=5$   :  results
      $l=10$  :  results
      $l=20$  :  results

  cifar10_dbg/simpleconv:
    disable : true
    full_dirs: true
    title : none
    desc : none
    test_ids : [0,1]
    save_locs:
      CSE : saves_dbg/cse_fsl/simple_conv/cifar-iid/U3E1BR5L10-200/241222-013655
      SAGE : saves_dbg/fsl_sage/simple_conv/cifar-iid/U3E1BR5L10-200/241222-013555

  cifar10/resnet18/noniid_dirichlet:
    title : CIFAR10; non_iid; ResNet18
    type : dirichlet_alpha
    desc  : test accuracy vs dirichlet alpha (measure of non-iidness of client data)
    test_ids: [0, 1]
    model : resnet18
    dataset : cifar10
    distribution : noniid_dirichlet
    save_locs:
      CSE-FSL:
        0.01   : R200m3E1B128q5-alp1.00e-02-seed200/241223-003939
        0.1    : R200m3E1B128q5-alp1.00e-01-seed200/241223-013139
        1.0    : R200m3E1B128q5-alp1.00e+00-seed200/241223-013300
        10.0   : R200m3E1B128q5-alp1.00e+01-seed200/241223-013301
        100.0  : R200m3E1B128q5-alp1.00e+02-seed200/241223-013302
        1000.0 : R200m3E1B128q5-alp1.00e+03-seed200/241223-013307
        10000.0: R200m3E1B128q5-alp1.00e+04-seed200/241223-013329
      FSL-SAGE:
        0.01   : R200m3E1B128q5l10-alp1.00e-02-seed200/241223-003938
        0.1    : R200m3E1B128q5l10-alp1.00e-01-seed200/241223-003938
        1.0    : R200m3E1B128q5l10-alp1.00e+00-seed200/241223-003938
        10.0   : R200m3E1B128q5l10-alp1.00e+01-seed200/241223-003938
        100.0  : R200m3E1B128q5l10-alp1.00e+02-seed200/241223-003938
        1000.0 : R200m3E1B128q5l10-alp1.00e+03-seed200/241223-003938
        10000.0: R200m3E1B128q5l10-alp1.00e+04-seed200/241223-003938

  cifar10/resnet18/noniid_dirichlet/accuracy:
    disable: False
    title : CIFAR10; non_iid; ResNet18
    desc  : test accuracy for various dirichlet alpha (measure of non-iidness of client data)
    test_ids: [0,1,2,3,4,5,6,7,8,9,10,11,12,13]
    colorscheme: [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1]
    legend : names_only
    model : resnet18
    dataset : cifar10
    distribution : noniid_dirichlet
    save_locs:
      CSE-FSL ($\alpha = 10000$):   R200m3E1B128q5-alp1.00e+04-seed200/241223-013329
      CSE-FSL ($\alpha = 1000$):    R200m3E1B128q5-alp1.00e+03-seed200/241223-013307
      CSE-FSL ($\alpha = 100$):     R200m3E1B128q5-alp1.00e+02-seed200/241223-013302
      CSE-FSL ($\alpha = 10$):      R200m3E1B128q5-alp1.00e+01-seed200/241223-013301
      CSE-FSL ($\alpha = 1$):       R200m3E1B128q5-alp1.00e+00-seed200/241223-013300
      CSE-FSL ($\alpha = 0.1$):     R200m3E1B128q5-alp1.00e-01-seed200/241223-013139
      CSE-FSL ($\alpha = 0.01$):    R200m3E1B128q5-alp1.00e-02-seed200/241223-003939
      FSL-SAGE ($\alpha = 10000$):  R200m3E1B128q5l10-alp1.00e+04-seed200/241223-003938
      FSL-SAGE ($\alpha = 1000$):   R200m3E1B128q5l10-alp1.00e+03-seed200/241223-003938
      FSL-SAGE ($\alpha = 100$):    R200m3E1B128q5l10-alp1.00e+02-seed200/241223-003938
      FSL-SAGE ($\alpha = 10$):     R200m3E1B128q5l10-alp1.00e+01-seed200/241223-003938
      FSL-SAGE ($\alpha = 1$):      R200m3E1B128q5l10-alp1.00e+00-seed200/241223-003938
      FSL-SAGE ($\alpha = 0.1$):    R200m3E1B128q5l10-alp1.00e-01-seed200/241223-003938
      FSL-SAGE ($\alpha = 0.01$):   R200m3E1B128q5l10-alp1.00e-02-seed200/241223-003938

  cifar10/resnet18/noniid_dirichlet/accuracy_l3_vs_dirichlet:
    title : CIFAR10; non_iid; ResNet18; align @ 3rds; acc_vs_dirichlet
    type : dirichlet_alpha
    desc  : test accuracy vs dirichlet alpha (measure of non-iidness of client data)
    test_ids: [0, 1]
    model : resnet18
    dataset : cifar10
    distribution : noniid_dirichlet
    save_locs:
      CSE-FSL:
        10000.0: R200m3E1B128q5-alp1.00e+04-seed200/241223-013329
        1000.0 : R200m3E1B128q5-alp1.00e+03-seed200/241223-013307
        100.0  : R200m3E1B128q5-alp1.00e+02-seed200/241223-013302
        10.0   : R200m3E1B128q5-alp1.00e+01-seed200/241223-013301
        1.     : R200m3E1B128q5-alp1.00e+00-seed200/241223-013300
        0.1    : R200m3E1B128q5-alp1.00e-01-seed200/241223-013139
        0.01   : R200m3E1B128q5-alp1.00e-02-seed200/241223-003939
      FSL-SAGE:
        10000.0: R200m3E1B128q5l3-alp1.00e+04-seed200/241224-013140
        1000.0 : R200m3E1B128q5l3-alp1.00e+03-seed200/241224-013122
        100.0  : R200m3E1B128q5l3-alp1.00e+02-seed200/241224-013057
        10.0   : R200m3E1B128q5l3-alp1.00e+01-seed200/241224-013054
        1.0    : R200m3E1B128q5l3-alp1.00e+00-seed200/241224-013054
        0.1    : R200m3E1B128q5l3-alp1.00e-01-seed200/241224-011549
        0.01   : R200m3E1B128q5l3-alp1.00e-02-seed200/241224-001142

  cifar10/resnet18/noniid_dirichlet/accuracy_l3:
    disable: False
    title : CIFAR10; non_iid; ResNet18; align @ 3rds
    desc  : test accuracy for various dirichlet alpha (measure of non-iidness of client data)
    test_ids: [0,1,2,3,4,5,6,7,8,9,10,11,12,13]
    colorscheme: [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1]
    legend : names_only
    model : resnet18
    dataset : cifar10
    distribution : noniid_dirichlet
    save_locs:
      CSE-FSL ($\alpha = 10000$):   R200m3E1B128q5-alp1.00e+04-seed200/241223-013329
      CSE-FSL ($\alpha = 1000$):    R200m3E1B128q5-alp1.00e+03-seed200/241223-013307
      CSE-FSL ($\alpha = 100$):     R200m3E1B128q5-alp1.00e+02-seed200/241223-013302
      CSE-FSL ($\alpha = 10$):      R200m3E1B128q5-alp1.00e+01-seed200/241223-013301
      CSE-FSL ($\alpha = 1$):       R200m3E1B128q5-alp1.00e+00-seed200/241223-013300
      CSE-FSL ($\alpha = 0.1$):     R200m3E1B128q5-alp1.00e-01-seed200/241223-013139
      CSE-FSL ($\alpha = 0.01$):    R200m3E1B128q5-alp1.00e-02-seed200/241223-003939
      FSL-SAGE ($\alpha = 10000$):  R200m3E1B128q5l3-alp1.00e+04-seed200/241224-013140
      FSL-SAGE ($\alpha = 1000$):   R200m3E1B128q5l3-alp1.00e+03-seed200/241224-013122
      FSL-SAGE ($\alpha = 100$):    R200m3E1B128q5l3-alp1.00e+02-seed200/241224-013057
      FSL-SAGE ($\alpha = 10$):     R200m3E1B128q5l3-alp1.00e+01-seed200/241224-013054
      FSL-SAGE ($\alpha = 1$):      R200m3E1B128q5l3-alp1.00e+00-seed200/241224-013054
      FSL-SAGE ($\alpha = 0.1$):    R200m3E1B128q5l3-alp1.00e-01-seed200/241224-011549
      FSL-SAGE ($\alpha = 0.01$):   R200m3E1B128q5l3-alp1.00e-02-seed200/241224-001142

  cifar10/resnet18/noniid_dirichlet/accuracy_l1_vs_dirichlet:
    title : CIFAR10; non_iid; ResNet18; align @ 1 rds; acc_vs_dirichlet
    type : dirichlet_alpha
    desc  : test accuracy vs dirichlet alpha (measure of non-iidness of client data)
    test_ids: [0, 1]
    model : resnet18
    dataset : cifar10
    distribution : noniid_dirichlet
    save_locs:
      CSE-FSL:
        10000.0: R200m3E1B128q5-alp1.00e+04-seed200/241223-013329
        1000.0 : R200m3E1B128q5-alp1.00e+03-seed200/241223-013307
        100.0  : R200m3E1B128q5-alp1.00e+02-seed200/241223-013302
        10.0   : R200m3E1B128q5-alp1.00e+01-seed200/241223-013301
        1.     : R200m3E1B128q5-alp1.00e+00-seed200/241223-013300
        0.1    : R200m3E1B128q5-alp1.00e-01-seed200/241223-013139
        0.01   : R200m3E1B128q5-alp1.00e-02-seed200/241223-003939
      FSL-SAGE:
        10000.0: R200m3E1B128q5l1-alp1.00e+04-seed200/241224-001142
        1000.0 : R200m3E1B128q5l1-alp1.00e+03-seed200/241224-001142
        100.0  : R200m3E1B128q5l1-alp1.00e+02-seed200/241224-001142
        10.0   : R200m3E1B128q5l1-alp1.00e+01-seed200/241224-001142
        1.0    : R200m3E1B128q5l1-alp1.00e+00-seed200/241224-001141
        0.1    : R200m3E1B128q5l1-alp1.00e-01-seed200/241224-001141
        0.01   : R200m3E1B128q5l1-alp1.00e-02-seed200/241224-001141

  cifar10/resnet18/noniid_dirichlet/accuracy_l1:
    disable: False
    title : CIFAR10; non_iid; ResNet18; align @ 3rds
    desc  : test accuracy for various dirichlet alpha (measure of non-iidness of client data)
    test_ids: [0,1,2,3,4,5,6,7,8,9,10,11,12,13]
    colorscheme: [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1]
    legend : names_only
    model : resnet18
    dataset : cifar10
    distribution : noniid_dirichlet
    save_locs:
      CSE-FSL ($\alpha = 10000$):   R200m3E1B128q5-alp1.00e+04-seed200/241223-013329
      CSE-FSL ($\alpha = 1000$):    R200m3E1B128q5-alp1.00e+03-seed200/241223-013307
      CSE-FSL ($\alpha = 100$):     R200m3E1B128q5-alp1.00e+02-seed200/241223-013302
      CSE-FSL ($\alpha = 10$):      R200m3E1B128q5-alp1.00e+01-seed200/241223-013301
      CSE-FSL ($\alpha = 1$):       R200m3E1B128q5-alp1.00e+00-seed200/241223-013300
      CSE-FSL ($\alpha = 0.1$):     R200m3E1B128q5-alp1.00e-01-seed200/241223-013139
      CSE-FSL ($\alpha = 0.01$):    R200m3E1B128q5-alp1.00e-02-seed200/241223-003939
      FSL-SAGE ($\alpha = 10000$):  R200m3E1B128q5l1-alp1.00e+04-seed200/241224-001142
      FSL-SAGE ($\alpha = 1000$):   R200m3E1B128q5l1-alp1.00e+03-seed200/241224-001142
      FSL-SAGE ($\alpha = 100$):    R200m3E1B128q5l1-alp1.00e+02-seed200/241224-001142
      FSL-SAGE ($\alpha = 10$):     R200m3E1B128q5l1-alp1.00e+01-seed200/241224-001142
      FSL-SAGE ($\alpha = 1$):      R200m3E1B128q5l1-alp1.00e+00-seed200/241224-001141
      FSL-SAGE ($\alpha = 0.1$):    R200m3E1B128q5l1-alp1.00e-01-seed200/241224-001141
      FSL-SAGE ($\alpha = 0.01$):   R200m3E1B128q5l1-alp1.00e-02-seed200/241224-001141