220 citations · 402 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 220 cited
Over-the-Air Federated Learning from Heterogeneous Data
Tomer Sery, Nir Shlezinger, Kobi Cohen +1
Federated learning (FL) is a framework for distributed learning of centralized models. In FL, a set of edge devices train a model using their local data, while repeatedly exchangin…
cs.LG2019★ 182 cited
On Analog Gradient Descent Learning over Multiple Access Fading Channels
Tomer Sery, Kobi Cohen
We consider a distributed learning problem over multiple access channel (MAC) using a large wireless network. The computation is made by the network edge and is based on received d…