activity
20162019
most citedMachine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air

587 citations · 651 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DC2019★ 587 cited

Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air

Mohammad Mohammadi Amiri, Deniz Gunduz

We study federated machine learning (ML) at the wireless edge, where power- and bandwidth-limited wireless devices with local datasets carry out distributed stochastic gradient des…

cs.DC2018★ 64 cited

Computation Scheduling for Distributed Machine Learning with Straggling Workers

Mohammad Mohammadi Amiri, Deniz Gunduz

We study scheduling of computation tasks across n workers in a large scale distributed learning problem with the help of a master. Computation and communication delays are assumed…

cs.IT2018

Audience-Retention-Rate-Aware Caching and Coded Video Delivery with Asynchronous Demands

Qianqian Yang, Mohammad Mohammadi Amiri, Deniz Gündüz

Most results on coded caching focus on a static scenario, in which a fixed number of users synchronously place their requests from a content library, and the performance is measure…

cs.IT2016

Decentralized Caching and Coded Delivery with Distinct Cache Capacities

Mohammad Mohammadi Amiri, Qianqian Yang, Deniz Gunduz

Decentralized proactive caching and coded delivery is studied in a content delivery network, where each user is equipped with a cache memory, not necessarily of equal capacity. Cac…

cs.IT2016

Fundamental Limits of Coded Caching: Improved Delivery Rate-Cache Capacity Trade-off

Mohammad Mohammadi Amiri, Deniz Gunduz

A centralized coded caching system, consisting of a server delivering N popular files, each of size F bits, to K users through an error-free shared link, is considered. It is assum…