Zixin Zhang

Modality competition in federated learning can be mitigated by structuring training into dedicated phases, leading to significant performance gains and reduced communication overhead.

Existing affordance prediction models fall flat when confronted with the wide-angle, distorted reality of panoramic vision, but a new training-free pipeline called PAP rises to the challenge.