Federated Multimodal Fusion for Action Recognition Leveraging Vision-Language Embeddings and Spatio- Temporal CNNs

FLAMeST is introduced, a FL framework that synergizes Vision-Language Models (VLMs) and spatiotemporal CNNs to address these challenges and employs the FedAvg algorithm for model aggregation, achieving 99% lower communication overhead compared to full-model training.