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researcher

M. E. Ozfatura

2 papers hereh-index 278 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.IT1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedDopamine: Differentially Private Federated Learning on Medical Data

43 citations · 43 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IT2021

Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling

Mehmet Emre Ozfatura, Junlin Zhao, Deniz Gündüz

We consider federated edge learning (FEEL) over wireless fading channels taking into account the downlink and uplink channel latencies, and the random computation delays at the cli…

cs.LG2021★ 43 cited

Dopamine: Differentially Private Federated Learning on Medical Data

Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital +3

While rich medical datasets are hosted in hospitals distributed across the world, concerns on patients' privacy is a barrier against using such data to train deep neural networks (…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.