AI RESEARCH
SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding
arXiv CS.CV
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ArXi:2603.09496v1 Announce Type: new Surgical scene Multi-Task Federated Learning (MTFL) is essential for robot-assisted minimally invasive surgery (RAS) but remains underexplored in surgical video understanding due to two key challenges: (1) Tissue Diversity: Local models struggle to adapt to site-specific tissue features, limiting their effectiveness in heterogeneous clinical environments and leading to poor local predictions.