Alex Gu

Preserving privacy, enabling collaboration: Decentralized learning framework for multi-class orthopedic imaging

It is suggested that synchronization-free representation sharing can serve as an effective and scalable alternative to conventional decentralized learning for heterogeneous orthopedic imaging tasks while preserving data locality, providing a promising basis for privacy-aware, scalable collaborative orthopedic artificia...