activity
20162022
most citedFederated Learning With Quantized Global Model Updates

32 citations · 40 across the 11 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.IT2020

Blind Federated Edge Learning

Mohammad Mohammadi Amiri, Tolga M. Duman, Deniz Gunduz +2

We study federated edge learning (FEEL), where wireless edge devices, each with its own dataset, learn a global model collaboratively with the help of a wireless access point actin…

eess.SP2020

Communicate to Learn at the Edge

Deniz Gunduz, David Burth Kurka, Mikolaj Jankowski +3

Bringing the success of modern machine learning (ML) techniques to mobile devices can enable many new services and businesses, but also poses significant technical and research cha…

cs.IT2020

Convergence of Federated Learning over a Noisy Downlink

Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni +1

We study federated learning (FL), where power-limited wireless devices utilize their local datasets to collaboratively train a global model with the help of a remote parameter serv…

cs.IT2020★ 32 cited

Federated Learning With Quantized Global Model Updates

Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni +1

We study federated learning (FL), which enables mobile devices to utilize their local datasets to collaboratively train a global model with the help of a central server, while keep…

eess.SP2020★ 3 cited

A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems

Yo-Seb Jeon, Mohammad Mohammadi Amiri, Jun Li +1

Federated learning is a privacy-preserving approach to train a global model at a central server by collaborating with wireless devices, each with its own local training data set. I…

cs.IT2020

Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge

Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni +1

We study federated learning (FL) at the wireless edge, where power-limited devices with local datasets collaboratively train a joint model with the help of a remote parameter serve…

cs.IT2020★ 2 cited

Multi-Antenna Coded Content Delivery with Caching: A Low-Complexity Solution

Junlin Zhao, Mohammad Mohammadi Amiri, Deniz Gündüz

We study downlink beamforming in a single-cell network with a multi-antenna base station serving cache-enabled users. Assuming a library of files with a common rate, we formulate t…