Efficient Distributed Learning Framework for 6G Networks: Snake Learning

Snake Learning is a communication- and computation-efficient distributed learning framework that respects the heterogeneity of inter-node computing capability and local data distribution in 6G networks, enabling sequential training of designated model layers on individual nodes to significantly reduce storage, memory, and communication requirements during the model training phase.