8 citations · 9 across the 5 of their papers we have counts for
16 papers
Secure Federated Clustering
Songze Li, Sizai Hou, Baturalp Buyukates +1
We consider a foundational unsupervised learning task of -means data clustering, in a federated learning (FL) setting consisting of a central server and many distributed clients…
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…
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…
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…
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…
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…