Review for NeurIPS paper: Byzantine Resilient Distributed Multi-Task Learning

Weaknesses: First, the scope of this paper is limited. Existing deep multi-task learning literatures are totally ignored. On the other hand, deep distributed learning is also not considered in this work, such as "Large Scale Distributed Deep Networks by Jeffrey Dean et al.", "FedNAS: Federated Deep Learning via Neural Architecture Search by Chaoyang He et al.". Both aspects should be incorporated into the paper to provide a whole picture of the development of distributed multi-task learning. Second, the proposed method is based on some strong convex assumption.