EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning. (arXiv:2108.08842v3 [cs.LG] UPDATED)

Web: http://arxiv.org/abs/2108.08842

Distributed Mean Estimation (DME) is a central building block in federated
learning, where clients send local gradients to a parameter server for
averaging and updating the model. Due to communication constraints, clients
often use lossy compression techniques to compress the gradients, resulting in
estimation inaccuracies.

DME is more challenging when clients have diverse network conditions, such as
constrained communication budgets and packet losses. In such settings, DME
techniques often incur a significant increase in the estimation error leading
to degraded …

arxiv communication distributed federated learning learning lg mean