Qiming Diao

Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation

Traditional graph-based semi-supervised learning (SSL) approaches are not suited for massive data and large label scenarios since they scale linearly with the number of edges |E| and distinct labels m. To deal with the large label size problem, recent works propose sketch-based methods to approximat…