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Time-Correlated Sparsification for Communication-Efficient Federated Learning

Jan 21, 2021
Emre Ozfatura, Kerem Ozfatura, Deniz Gunduz


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FedADC: Accelerated Federated Learning with Drift Control

Dec 16, 2020
Emre Ozfatura, Kerem Ozfatura, Deniz Gunduz


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Distributed Sparse SGD with Majority Voting

Nov 12, 2020
Kerem Ozfatura, Emre Ozfatura, Deniz Gunduz


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Gradient Coding with Dynamic Clustering for Straggler Mitigation

Nov 03, 2020
Baturalp Buyukates, Emre Ozfatura, Sennur Ulukus, Deniz Gunduz


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Communicate to Learn at the Edge

Sep 28, 2020
Deniz Gunduz, David Burth Kurka, Mikolaj Jankowski, Mohammad Mohammadi Amiri, Emre Ozfatura, Sreejith Sreekumar

* 13 pages, 5 figures 

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Coded Distributed Computing with Partial Recovery

Jul 04, 2020
Emre Ozfatura, Sennur Ulukus, Deniz Gunduz

* Presented in part at the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing in Brighton, UK 

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Age-Based Coded Computation for Bias Reduction in Distributed Learning

Jun 02, 2020
Emre Ozfatura, Baturalp Buyukates, Deniz Gunduz, Sennur Ulukus


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Straggler-aware Distributed Learning: Communication Computation Latency Trade-off

Apr 10, 2020
Emre Ozfatura, Sennur Ulukus, Deniz Gunduz

* This paper was presented in part at the 2019 IEEE International Symposium on Information Theory (ISIT) in Paris, France, and at the 2019 IEEE Data Science Workshop in Minneapolis, USA 

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Decentralized SGD with Over-the-Air Computation

Mar 06, 2020
Emre Ozfatura, Stefano Rini, Deniz Gunduz


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Hierarchical Federated Learning Across Heterogeneous Cellular Networks

Sep 05, 2019
Mehdi Salehi Heydar Abad, Emre Ozfatura, Deniz Gunduz, Ozgur Ercetin


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Gradient Coding with Clustering and Multi-message Communication

Mar 05, 2019
Emre Ozfatura, Deniz Gunduz, Sennur Ulukus


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Distributed Gradient Descent with Coded Partial Gradient Computations

Nov 22, 2018
Emre Ozfatura, Sennur Ulukus, Deniz Gunduz


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Speeding Up Distributed Gradient Descent by Utilizing Non-persistent Stragglers

Oct 02, 2018
Emre Ozfatura, Deniz Gunduz, Sennur Ulukus


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