FedVideoMAE: Efficient Federated Video Moderation with Differential Privacy and Secure Aggregation

A federated learning framework for video content moderation that combines differential privacy and secure aggregation to protect user data during training.

Auto-scored: The paper presents a privacy-preserving moderation technique, a partial mitigation step, with only minor risk from potential dual-use.