FedVideoMAE combines VideoMAE pretraining, LoRA adaptation, client DP-SGD and secure aggregation to cut federated communication 28x while reaching 65-66% accuracy under strong privacy on RWF-2000 with 40 clients.
Ldp-fl: Practical private aggregation in federated learning,
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FedVideoMAE: Efficient Privacy-Preserving Federated Video Moderation
FedVideoMAE combines VideoMAE pretraining, LoRA adaptation, client DP-SGD and secure aggregation to cut federated communication 28x while reaching 65-66% accuracy under strong privacy on RWF-2000 with 40 clients.