Path |
Digest |
Size |
plato/__init__.py |
sha256=kM55qqhSrc4b-StNTuN03Srg0kwfg1G4BckCKhUytaE
|
20 |
plato/client.py |
sha256=X9UM2lv6LVqTtgtTf-bsbXmkKL1MxGsIvpZyk4L4YKA
|
1957 |
plato/config.py |
sha256=0eZyOgPHpLq4jOfTfDPUwMFuHMXcF8RQiudb6-knRCw
|
13260 |
plato/algorithms/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
plato/algorithms/base.py |
sha256=vsW03NuOrHE3dWi_YQ2o7sAfRmMSjj5eNpTv7P3RrE0
|
1274 |
plato/algorithms/fedavg.py |
sha256=AzBhnORRAmMJUgH1QBzPVrrWMNs2dAP76z0SvYiAzWw
|
1577 |
plato/algorithms/fedavg_gan.py |
sha256=-QFc1ZbCsQYH6NsLFREjyCHO16cH08OUpYXHyJiJtO4
|
2867 |
plato/algorithms/fedavg_personalized.py |
sha256=Q4HaDBNFRS_deNT8q0_z1V5NUO9TDy5o-fcngVzIH_Q
|
1611 |
plato/algorithms/mistnet.py |
sha256=FqHQxYsJ3SYscBCmNog5ETotzj9r5b_bvTLaTeZYNHg
|
1476 |
plato/algorithms/registry.py |
sha256=TzEUMPMBz6V7MJvy5AldNwq5ZQS0_10UkXvN5Arwk7k
|
1577 |
plato/algorithms/split_learning.py |
sha256=nj35ZeOcFAoUmUMyN_XLGw1Th2oZlOQ7sg58T7xzBmM
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3273 |
plato/callbacks/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
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plato/callbacks/client.py |
sha256=_g3EysmWqMSDp0WytgYd7VAKBR-DLGl2XioKKKsYxFg
|
1654 |
plato/callbacks/handler.py |
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2639 |
plato/callbacks/server.py |
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|
4491 |
plato/callbacks/trainer.py |
sha256=VlM2ts1d4WcWv01nBqs5K7tbUwHHLkTmQXZGPn_EV3I
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3804 |
plato/clients/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
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plato/clients/base.py |
sha256=3mbyXnmSLn8aX4K4MQ1kfKUG3GAFaoBpa8ppAz-nDOo
|
17048 |
plato/clients/edge.py |
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3455 |
plato/clients/fedavg_personalized.py |
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1446 |
plato/clients/mistnet.py |
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|
1491 |
plato/clients/registry.py |
sha256=miwiOTABTyeX4LqiIQU1OqAU8vcMtP9WJtBqNN5C3Lg
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1228 |
plato/clients/self_supervised_learning.py |
sha256=ier03f8tmOv1G-ltTmX7YE1njhPzcSjPZJiKHbgKpfw
|
1680 |
plato/clients/simple.py |
sha256=0JVNVfyoUP6KAaI0vC37Tw5owF6frtKsjMG6p5NMWF0
|
8377 |
plato/clients/split_learning.py |
sha256=FxYF_jGZKSyMZodcV7SEN9ZhtkHb2OG__SLUPi68yYQ
|
5325 |
plato/datasources/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
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plato/datasources/base.py |
sha256=ZfgNoyBrERDMGuIaTYnO1vpTL_zzAU0JWOFMXy1UnOw
|
4104 |
plato/datasources/celeba.py |
sha256=rbfxClR_zk6k-tgXm1E1vwhOCxqA5YXvmABbrAX_bWA
|
4563 |
plato/datasources/cifar10.py |
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|
2679 |
plato/datasources/cifar100.py |
sha256=e-ycH_OUaRzBzvxstxEYLT3r8gFBWygcpGi-c1b-sQI
|
1720 |
plato/datasources/cinic10.py |
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|
1723 |
plato/datasources/coco.py |
sha256=lPqKJsG1ZiSpS2tTT-P7gYnhjvRGM6Rxry7Zhw1IZbA
|
4464 |
plato/datasources/emnist.py |
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|
1737 |
plato/datasources/fashion_mnist.py |
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|
1073 |
plato/datasources/feature.py |
sha256=T_GNavPCXtoqvQCpxPhido8EKraKruModAh1zxL_Yvk
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plato/datasources/feature_dataset.py |
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plato/datasources/femnist.py |
sha256=bpp4bCGFgxWuEcIGZShBc2DlAs7GCkhJSHbzG6KDJyY
|
4673 |
plato/datasources/flickr30k_entities.py |
sha256=VUgGetVhOmXj8vz65LoUSITEF5veR5haEs6kUPiWpx0
|
13862 |
plato/datasources/gym.py |
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16869 |
plato/datasources/huggingface.py |
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|
5572 |
plato/datasources/kinetics.py |
sha256=MxFo0oH2JCaaVL8a-2UtEaV6AsXWz3jmDv7INhXZvJ8
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23364 |
plato/datasources/mnist.py |
sha256=lHc1ShTJA1aenFChyZAc1WoUYt3dkYhlLq9wDMEQyS0
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1213 |
plato/datasources/multimodal_base.py |
sha256=CbIA8AeZ4blYsCSO8oLI1D7dJnTdtjBU-JGVSNav-mw
|
12624 |
plato/datasources/pascal_voc.py |
sha256=WaXuOmbp9a3wtUA67q2u9hqW9n-fFgUgzaljtR978Wo
|
1482 |
plato/datasources/purchase.py |
sha256=47mNLgVINPtPoNzQXTiY8NnmQWzdrYR7KgE4rPV5VUs
|
3022 |
plato/datasources/qoenflx.py |
sha256=cMlucoePd0qmJOVKcT9Nuu2x3EMndD4_XyHFAgsmcXs
|
4224 |
plato/datasources/referitgame.py |
sha256=6dEUBQ8H56ArozCjaQJkpTjpgGM8DcgUrEVQhJkJV2s
|
11322 |
plato/datasources/registry.py |
sha256=EzK0iQYAZWj-5W5ke1KRxz846GycbxRfdHmW3EHq3Ww
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3851 |
plato/datasources/self_supervised_learning.py |
sha256=R8ciNfeTh-NMOmfvL3wEGiLnPSKcxaUehn2JeGbuzC4
|
3563 |
plato/datasources/stl10.py |
sha256=CU2j4SDBSeBTtqG-ydZsbzytbJF4_9dHm4YqsVZNnUU
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3032 |
plato/datasources/texas.py |
sha256=CaiwL2_f8YpSTRKJKGKxL4gBaKBtbh2mTw-dVEsyhFQ
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3189 |
plato/datasources/tiny_imagenet.py |
sha256=P56GVCKzkqfFy3oNmb6gx5HNsSftLazoYBGdywMh4Ns
|
1943 |
plato/datasources/yolov8.py |
sha256=zm3B40wPywm9Zg6tJYSlDDkVBCWz_qGZmCrakS-FZs0
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2691 |
plato/datasources/datalib/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
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plato/datasources/datalib/audio_extraction_tools.py |
sha256=RLosUR0H5bnPDfluJb5b3Si7FRVbNmts-4fBD_79goU
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4718 |
plato/datasources/datalib/data_utils.py |
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3816 |
plato/datasources/datalib/flickr30kE_utils.py |
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12779 |
plato/datasources/datalib/frames_extraction_tools.py |
sha256=gGEqAqCQFiG3uEKtZ4l_aLdSc6wiEKwmejrUcDG8L0Y
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8170 |
plato/datasources/datalib/modality_data_anntation_tools.py |
sha256=9E-bkqNKtkAZFLss90EBiCaRtRBbqXCywGSj1CO7Xkc
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6699 |
plato/datasources/datalib/modality_extraction_base.py |
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2253 |
plato/datasources/datalib/parse_datasets.py |
sha256=hnLJRloFlCU7XL5OzprJgY9HA1EzrJMULto9X8sXbQo
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7717 |
plato/datasources/datalib/tiny_data_tools.py |
sha256=AIUcRRjHRKg9pN4vx9dBK2qGAYLsfFrN89VLcppmLzQ
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3248 |
plato/datasources/datalib/video_transform.py |
sha256=NCVZ5R5NKHixarwRb-bl2dPI2C8Ec9ef4Nr8KKKzQRk
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2262 |
plato/datasources/datalib/gym_utils/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
plato/datasources/datalib/gym_utils/gym_trim.py |
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6056 |
plato/datasources/datalib/refer_utils/__init__.py |
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0 |
plato/datasources/datalib/refer_utils/referitgame_utils.py |
sha256=C89asVB6XH9iQnSxhoUwtrJWhQSifmwjP6g553eCSGc
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9358 |
plato/models/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
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plato/models/cnn_encoder.py |
sha256=Wbes3LcdRYSA86Mx6ybogWEEgXn-_whH7qm3dkUnW4M
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3528 |
plato/models/dcgan.py |
sha256=DCg10M_yh6JYNEtyBgFKUMy17OKn9X9VWUPEEJHCH0g
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3396 |
plato/models/general_multilayer.py |
sha256=jBX5-X8dW-S7uPm_MY0ToIgWUh17uILnpA6AKu7xCN8
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plato/models/huggingface.py |
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plato/models/lenet5.py |
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plato/models/multilayer.py |
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plato/models/registry.py |
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plato/models/resnet.py |
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6552 |
plato/models/torch_hub.py |
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plato/models/vgg.py |
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plato/models/vit.py |
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plato/models/yolov8.py |
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plato/models/multimodal/__init__.py |
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plato/models/multimodal/base_net.py |
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plato/models/multimodal/blending.py |
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plato/models/multimodal/fc_net.py |
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plato/models/multimodal/fusion_net.py |
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plato/models/multimodal/multimodal_module.py |
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plato/processors/__init__.py |
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plato/processors/base.py |
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plato/processors/compress.py |
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plato/processors/decompress.py |
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plato/processors/feature.py |
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plato/processors/feature_additive_noise.py |
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plato/processors/feature_dequantize.py |
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plato/processors/feature_gaussian.py |
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plato/processors/feature_laplace.py |
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plato/processors/feature_quantize.py |
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plato/processors/feature_randomized_response.py |
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plato/processors/feature_unbatch.py |
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plato/processors/inbound_feature_tensors.py |
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plato/processors/model.py |
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plato/processors/model_compress.py |
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plato/processors/model_decompress.py |
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plato/processors/model_decrypt.py |
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plato/processors/model_deepcopy.py |
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plato/processors/model_dequantize.py |
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plato/processors/model_dequantize_qsgd.py |
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plato/processors/model_encrypt.py |
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plato/processors/model_quantize.py |
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plato/processors/model_quantize_qsgd.py |
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plato/processors/model_randomized_response.py |
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plato/processors/outbound_feature_ndarrays.py |
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plato/processors/pipeline.py |
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plato/processors/structured_pruning.py |
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plato/processors/unstructured_pruning.py |
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plato/samplers/__init__.py |
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plato/samplers/all_inclusive.py |
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plato/samplers/base.py |
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plato/samplers/dirichlet.py |
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plato/samplers/distribution_noniid.py |
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plato/samplers/iid.py |
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plato/samplers/label_quantity_noniid.py |
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plato/samplers/mixed.py |
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plato/samplers/mixed_label_quantity_noniid.py |
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plato/samplers/modality_iid.py |
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plato/samplers/modality_quantity_noniid.py |
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plato/samplers/orthogonal.py |
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plato/samplers/registry.py |
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plato/samplers/sample_quantity_noniid.py |
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plato/samplers/sampler_utils.py |
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plato/servers/__init__.py |
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plato/servers/base.py |
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plato/servers/fedavg.py |
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plato/servers/fedavg_cs.py |
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plato/servers/fedavg_gan.py |
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plato/servers/fedavg_he.py |
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— |
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