Make Some ROOM for the Zeros
Phillipp Schoppmann, Adrià Gascón, Mariana Raykova, Benny Pinkas · 2019
Exploiting data sparsity is crucial for the scalability of many data analysis tasks. However, while there is an increasing interest in efficient secure computation protocols for distributed machine learning, data sparsity has so far not been considered in a principled way in that setting.