no code implementations • 5 Apr 2022 • Suvadip Batabyal, Ozgur Ercetin
The identification is made at the source using a tiny neural network (having a small number of hidden layers), which incurs a small computational resource, albeit at the cost of accuracy.
no code implementations • 5 Sep 2019 • Mehdi Salehi Heydar Abad, Emre Ozfatura, Deniz Gunduz, Ozgur Ercetin
We study collaborative machine learning (ML) across wireless devices, each with its own local dataset.
no code implementations • 6 Aug 2019 • Yunus Sarikaya, Ozgur Ercetin
Due to the large size of the training data, distributed learning approaches such as federated learning have gained attention recently.
Distributed, Parallel, and Cluster Computing
no code implementations • 17 Mar 2018 • Mehdi Salehi Heydar Abad, Ozgur Ercetin
For the offline case, by finding the optimal WPT duration and power allocations in the data transmission period, we derive an upper bound on the throughput of the WPD.