Distributed Learning in Wireless Networks

The next-generation of wireless networks will enable many machine learning (ML) tools and applications to efficiently analyze various types of data collected […]

Mix2FLD

This letter proposes a novel communication-efficient and privacy-preserving distributed machine learning framework, coined Mix2FLD. To address uplink-downlink capacity asymmetry, local model outputs […]