DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning

1 code implementation • NeurIPS 2021 • Hang Xu, Kelly Kostopoulou, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis

DeepReduce is orthogonal to existing gradient sparsifiers and can be applied in conjunction with them, transparently to the end-user, to significantly lower the communication overhead.

DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning

1 code implementation • NeurIPS 2021 • Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis

This paper introduces DeepReduce, a versatile framework for the compressed communication of sparse tensors, tailored for distributed deep learning.

A Data Management Approach for Dataset Selection Using Human Computation

no code implementations • 13 Jul 2013 • Alexandros Ntoulas, Omar Alonso, Vasilis Kandylas

As the number of applications that use machine learning algorithms increases, the need for labeled data useful for training such algorithms intensifies.

BIG-bench Machine Learning Management