Preserving Audio-Visual Privacy in Multimodal Sentiment Analysis through Hybrid Distributed Collaborative Learning

A novel hybrid distributed collaborative learning framework, HyDiscGAN, is proposed to generate fake audio and visual features that effectively preserve privacy while enhancing performance in multimodal sentiment analysis tasks.