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yangao
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update readme
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@@ -62,7 +62,7 @@ The abstract definition of classes are provided by ````reproduce_papers/fedssl/v
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|FedVSSL $(\alpha=0, \beta=0)$|````main_cam_st_theta_b_wo_moment.py````|Implementation of FedAvg but with only aggregating the backbone network|
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|FedVSSL $(\alpha=1, \beta=0)$|````main_cam_st_theta_b_loss_wo_moment.py````|Implementation of loss-based aggregation but with only aggregating the backbone network|
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|FedVSSL $(\alpha=0, \beta=1)$|````main_cam_st_theta_b_FedAvg_+SWA_wo_moment.py````|Implementation of FedAvg+SWA aggregation but with only aggregating the backbone network|
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|FedVSSL $(\alpha=1, \beta=0)$|````main_cam_st_theta_b_loss_+SWA_wo_moment.py````|Implementation of loss-based+SWA aggregation but with only aggregating the backbone network|
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|FedVSSL $(\alpha=1, \beta=1)$|````main_cam_st_theta_b_loss_+SWA_wo_moment.py````|Implementation of loss-based+SWA aggregation but with only aggregating the backbone network|
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# Evaluation
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After FL pretraining one can use the following code to fine-tune the model on UCF or HMDB.

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