E
Eider Moore
Researcher at Google
Publications - 4
Citations - 9942
Eider Moore is an academic researcher from Google. The author has contributed to research in topics: Language model & Stochastic gradient descent. The author has an hindex of 4, co-authored 4 publications receiving 5394 citations.
Papers
More filters
Posted Content
Communication-Efficient Learning of Deep Networks from Decentralized Data
TL;DR: This work presents a practical method for the federated learning of deep networks based on iterative model averaging, and conducts an extensive empirical evaluation, considering five different model architectures and four datasets.
Proceedings Article
Communication-Efficient Learning of Deep Networks from Decentralized Data
TL;DR: In this paper, the authors presented a decentralized approach for federated learning of deep networks based on iterative model averaging, and conduct an extensive empirical evaluation, considering five different model architectures and four datasets.
Posted Content
Federated Learning of Deep Networks using Model Averaging
TL;DR: This work presents a practical method for the federated learning of deep networks that proves robust to the unbalanced and non-IID data distributions that naturally arise, and allows high-quality models to be trained in relatively few rounds of communication.
Patent
Systems and methods of distributed optimization
TL;DR: In this article, the authors provide a system and methods of determining a global model from a plurality of user devices, where each local update can be determined by the respective user device based at least in part on one or more data examples stored on the user device.