Biao Liu

Federated learning struggles when data quality varies across clients, but FedQual solves this with a novel approach that calibrates low-quality clients while preserving high-quality autonomy.

Forget expensive data collection: Seed2Scale leverages a small-model/large-model synergy to self-generate high-quality embodied AI training data, starting from just four seed demonstrations.