activity
20182026
most citedSecure Federated Clustering

8 citations · 11 across the 16 of their papers we have counts for

collaborators
Showing cs.ITShow all

15 papers · 1 filter

cs.IT2021

Version Age of Information in Clustered Gossip Networks

Baturalp Buyukates, Melih Bastopcu, Sennur Ulukus

We consider a network consisting of a single source and receiver nodes that are grouped into equal-sized clusters. We use cluster heads in each cluster to facilitate communicat…

cs.IT2021

Gossiping with Binary Freshness Metric

Melih Bastopcu, Baturalp Buyukates, Sennur Ulukus

We consider the binary freshness metric for gossip networks that consist of a single source and end-nodes, where the end-nodes are allowed to share their stored versions of the…

cs.IT2021

Age of Gossip in Networks with Community Structure

Baturalp Buyukates, Melih Bastopcu, Sennur Ulukus

We consider a network consisting of a single source and receiver nodes that are grouped into equal size communities, i.e., clusters, where each cluster includes nodes a…

cs.IT2021

Gradient Coding with Dynamic Clustering for Straggler-Tolerant Distributed Learning

Baturalp Buyukates, Emre Ozfatura, Sennur Ulukus +1

Distributed implementations are crucial in speeding up large scale machine learning applications. Distributed gradient descent (GD) is widely employed to parallelize the learning t…

cs.IT2020

Timely Communication in Federated Learning

Baturalp Buyukates, Sennur Ulukus

We consider a federated learning framework in which a parameter server (PS) trains a global model by using clients without actually storing the client data centrally at a cloud…

cs.IT2020

Gradient Coding with Dynamic Clustering for Straggler Mitigation

Baturalp Buyukates, Emre Ozfatura, Sennur Ulukus +1

In distributed synchronous gradient descent (GD) the main performance bottleneck for the per-iteration completion time is the slowest \textit{straggling} workers. To speed up GD it…

cs.IT2020

Age-Based Coded Computation for Bias Reduction in Distributed Learning

Emre Ozfatura, Baturalp Buyukates, Deniz Gunduz +1

Coded computation can be used to speed up distributed learning in the presence of straggling workers. Partial recovery of the gradient vector can further reduce the computation tim…

cs.IT2020

Selective Encoding Policies for Maximizing Information Freshness

Melih Bastopcu, Baturalp Buyukates, Sennur Ulukus

An information source generates independent and identically distributed status update messages from an observed random phenomenon which takes distinct values based on a given p…

cs.IT2020

Age of Information with Gilbert-Elliot Servers and Samplers

Baturalp Buyukates, Sennur Ulukus

We study age of information in a status updating system that consists of a single sampler, i.e., source node, that sends time-sensitive status updates to a single monitor node thro…

cs.IT2020

Optimal Selective Encoding for Timely Updates

Melih Bastopcu, Baturalp Buyukates, Sennur Ulukus

We consider a system in which an information source generates independent and identically distributed status update packets from an observed phenomenon that takes possible valu…

cs.IT2019

Timely Distributed Computation with Stragglers

Baturalp Buyukates, Sennur Ulukus

We consider a status update system in which the update packets need to be processed to extract the embedded useful information. The source node sends the acquired information to a…

cs.IT2019

Age of Information Scaling in Large Networks with Hierarchical Cooperation

Baturalp Buyukates, Alkan Soysal, Sennur Ulukus

Given randomly located source-destination (S-D) pairs on a fixed area network that want to communicate with each other, we study the age of information with a particular focus…

cs.IT2019

Age of Information in Multicast Networks with Multiple Update Streams

Baturalp Buyukates, Alkan Soysal, Sennur Ulukus

We consider the age of information in a multicast network where there is a single source node that sends time-sensitive updates to receiver nodes. Each status update is one of…

cs.IT2018★ 1 cited

Age of Information in Multihop Multicast Networks

Baturalp Buyukates, Alkan Soysal, Sennur Ulukus

We consider the age of information in a multihop multicast network where there is a single source node sending time-sensitive updates to end nodes, and denotes the number…

cs.IT2018

Age of Information Scaling in Large Networks

Baturalp Buyukates, Alkan Soysal, Sennur Ulukus

We study age of information in a multiple source-multiple destination setting with a focus on its scaling in large wireless networks. There are nodes that are randomly paired w…