1. MALAK Derya
  2. MALAK Derya
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MALAK Derya

Conference

He, Zixuan; Deylam Salehi, Mohammad Reza; Malak, Derya; Stavrou, Photios A.

Learning-augmented perfectly secure collaborative Matrix multiplication

ISIT 2026, IEEE International Symposium on Information Theory, 28 June - 3 July 2026, Guangzhou, China
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ARXIV
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Conference

Tanha, Ahmad; Deylam Salehi, Mohammad Reza; Dutta, Monolina; Malak, Derya

Cooperative Coded Matrix Multiplication in Secrecy-Constrained Vehicular Networks

VTC Spring 2026, IEEE 103rd Vehicular Technology Conference, 9-12 June 2026, Nice, France
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Journal

Malak, Derya

Structured codes for distributed Matrix multiplication

IEEE Transactions on Information Theory, 11 May 2026
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DOI
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Report

Khalesi, Ali; Tanha, Ahmad; Malak, Derya; Elia, Petros

Multi-user non-linearly separable distributed computing

Submitted to ArXiV, 30 April 2026
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ARXIV
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Journal

Malak, Derya

Structured polynomial codes for distributed matrix multiplication

IEEE Journal on Selected Areas in Information Theory, 27 April 2026
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DOI
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Conference

Peter, Elizabath; Karakkad, Krishnan; Malak, Derya; Elia, Petros

New achievability schemes for distributed computing of linearly separable functions

IZS 2026, International Zurich Seminar on Information and Communication, 25-27 February 2026, Zurich, Switzerland
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HAL
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Talk

Malak, Derya

Fundamental limits of distributed computation over networks

Trans Numériques 2026, Workshop "Traitement du signal et couche physique", 2-5 February 2026, Rennes, France
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Conference

Khalesi, Ali; Tanha, Ahmad; Malak, Derya; Elia, Petros

Non-linearly separable distributed computing: A sparse tensor factorization approach

ISIT 2026, IEEE International Symposium on Information Theory, 28 June - 3 July 2026, Guangzhou, China
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Report

Namboodiri, K. K. Krishnan; Peter, Elizabath; Malak, Derya; Elia, Petros

Fundamental limits of multi-user distributed computing of linearly separable functions

Submitted to ArXiV, 15 January 2026
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ARXIV
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Talk

Malak, Derya

Fundamental limits of distributed computation over networks

Invited talk at Fraunhofer HHI, 14 November 2025, Berlin, Germany
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