220 citations · 836 across the 35 of their papers we have counts for
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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.LG2020★ 41 cited
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning
Dor Livne, Kobi Cohen
The recent success of deep neural networks (DNNs) for function approximation in reinforcement learning has triggered the development of Deep Reinforcement Learning (DRL) algorithms…