112 citations · 140 across the 21 of their papers we have counts for
34 papers · 1 filter
Graph-Theoretic Bounds for Non-Linear Function Computation Broadcast
Derya Malak, Vijith Kumar K. P., M. Reza Deylam Salehi
This work studies non-linear function computation broadcast (NFCB), in which a sender with access to datasets broadcasts a common message to users, each p…
Fundamental Limits of Multi-User Distributed Computing of Linearly Separable Functions
K. K. Krishnan Namboodiri, Elizabath Peter, Derya Malak +1
This work establishes the fundamental limits of the classical problem of multi-user distributed computing of linearly separable functions. In particular, we consider a distributed…
Learning-Augmented Perfectly Secure Collaborative Matrix Multiplication
Zixuan He, Mohammad Reza Deylam Salehi, Derya Malak +1
This paper presents a perfectly secure matrix multiplication (PSMM) protocol for multiparty computation (MPC) of over finite fields. The proposed sche…
Multi-User Non-Linearly Separable Distributed Computing
Ali Khalesi, Ahmad Tanha, Derya Malak +1
This paper considers an -server distributed computing setting with users requesting functions that are arbitrary multivariable polynomial evaluations of real (potentiall…
Fundamental Limits of Distributed Computing for Linearly Separable Functions
K. K. Krishnan Namboodiri, Elizabath Peter, Derya Malak +1
This work addresses the problem of distributed computation of linearly separable functions, where a master node with access to datasets, employs servers to compute user…
Distributed Compression for Computation and Bounds on the Optimal Rate
Mohammad Reza Deylam Salehi, Derya Malak
We address the problem of distributed computation of arbitrary functions of two correlated sources and , residing in two distributed source nodes, respectively. We explo…
Non-Linear Function Computation Broadcast
Mohammad Reza Deylam Salehi, Vijith Kumar Kizhakke Purakkal, Derya Malak
This work addresses the -user computation broadcast problem consisting of a master node, that holds all datasets and users for a general class of function demands, including lin…
Structured Codes for Distributed Matrix Multiplication
Derya Malak
Our work addresses the well-known open problem of distributed computing of bilinear functions of two correlated sources and . In a setting with two nodes, with t…
The Influence of Placement on Transmission in Distributed Computing of Boolean Functions
Ahmad Tanha, Derya Malak
In this paper, we explore a distributed setting, where a user seeks to compute a linearly-separable Boolean function of degree from servers, each with a cache size . Exp…
Distributed Structured Matrix Multiplication
Derya Malak
We devise achievable encoding schemes for distributed source compression for computing inner products, symmetric matrix products, and more generally, square matrix products, which…
Multi-Server Multi-Function Distributed Computation
Derya Malak, Mohammad Reza Deylam Salehi, Berksan Serbetci +1
The work here studies the communication cost for a multi-server multi-task distributed computation framework, and does so for a broad class of functions and data statistics. Consid…
Distributed Computing of Functions of Structured Sources with Helper Side Information
Derya Malak
In this work, we consider the problem of distributed computing of functions of structured sources, focusing on the classical setting of two correlated sources and one user that see…
Weighted Graph Coloring for Quantized Computing
Derya Malak
We consider the problem of distributed lossless computation of a function of two sources by one common user. To do so, we first build a bipartite graph, where two disjoint parts de…
FlEC: Enhancing QUIC with application-tailored reliability mechanisms
François Michel, Alejandro Cohen, Derya Malak +3
Packet losses are common events in today's networks. They usually result in longer delivery times for application data since retransmissions are the de facto technique to recover f…
The Interplay of Spectral Efficiency, User Density, and Energy in Grant-based Access Protocols
Derya Malak
We employ grant-based access with retransmissions for multiple users with small payloads, particularly at low spectral efficiency (SE). The radio resources are allocated via NOMA i…
Fractional Graph Coloring for Functional Compression with Side Information
Derya Malak
We describe a rational approach to reduce the computational and communication complexities of lossless point-to-point compression for computation with side information. The traditi…
Transmission Delay Minimization via Joint Power Control and Caching in Wireless HetNets
Derya Malak, Faruk V. Mutlu, Jinkun Zhang +1
A fundamental challenge in wireless heterogeneous networks (HetNets) is to effectively utilize the limited transmission and storage resources in the presence of increasing deployme…
Distributed Computation over MAC via Kolmogorov-Arnold Representation
Derya Malak, Ali Tajer
Kolmogorov's representation theorem provides a framework for decomposing any arbitrary real-valued, multivariate, and continuous function into a two-layer nested superposition of a…
Applications of Common Information to Computing Functions
Derya Malak
We design a low complexity distributed compression scheme for computing arbitrary functions of sources with discrete alphabets. We use a helper-based method that extends the defini…
Function Load Balancing over Networks
Derya Malak, Muriel Médard
Using networks as a means of computing can reduce the communication flow or the total number of bits transmitted over the networks. In this paper, we propose to distribute the comp…
A Distributed Computationally Aware Quantizer Design via Hyper Binning
Derya Malak, Muriel Médard
We design a distributed function-aware quantization scheme for distributed functional compression. We consider correlated sources and and a destination that seeks a…
Spatial Concentration of Caching in Wireless Heterogeneous Networks
Derya Malak, Muriel Médard, Jeffrey G. Andrews
We propose a decentralized caching policy for wireless heterogeneous networks that makes content placement decisions based on pairwise interactions between cache nodes. We call our…
How to Distribute Computation in Networks
Derya Malak, Alejandro Cohen, Muriel Medard
In network function computation is as a means to reduce the required communication flow in terms of number of bits transmitted per source symbol. However, the rate region for the f…
Adaptive Causal Network Coding with Feedback
Alejandro Cohen, Derya Malak, Vered Bar Bracha +1
We propose a novel adaptive and causal random linear network coding (AC-RLNC) algorithm with forward error correction (FEC) for a point-to-point communication channel with delayed…