World models for embodied intelligence.

From Partially to Fully Unmatched Modalities as Negative Samples in Contrastive Learning

We introduce a curriculum for multimodal contrastive learning that treats partially-to-fully unmatched modality pairs as progressively harder negative samples, improving cross-modal representation quality.

Toward an Open Ecosystem for Federated Learning Mobile Apps

FLSys is a mobile-cloud federated learning system that supports different FL models and aggregation methods, enabling an open ecosystem of privacy-preserving FL apps on smartphones.