Optima Age Over Erasure Channels

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The recently introduced polar codes constitute a breakthrough in coding theory due to their capacity-achieving property. This goes hand in hand with a quasilinear construction, encoding, and successive cancellation list decoding procedures based on the Plo ...

This paper investigates the problem of secret key generation from correlated Gaussian random variables in the short block-length regime. Inspired by the state-of-the-art performance provided by polar codes in the short blocklength regime for channel coding ...

Soft Magnetic Composites (SMCs) have huge application potential in electrical devices. With the development of additive manufacturing (AM), the properties of SMCs can be boosted. It is therefore required an optimization algorithm to design SMCs considering ...

In the Shannon lecture at the 2019 International Symposium on Information Theory (ISIT), Arikan proposed to employ a one-to-one convolutional transform as a pre-coding step before the polar transform. The resulting codes of this concatenation are called po ...

We strengthen the results from a recent work by the second author, achieving bounds on the weight distribution of binary linear codes that are successful under block-MAP (as well as bit-MAP) decoding on the BEC. We conclude that a linear code that is succe ...

Locally correctable codes (LCCs) are error correcting codes C : \Sigmak \rightarrow \Sigman which admit local algorithms that correct any individual symbol of a corrupted codeword via a minuscule number of queries. For systematic codes, this notion is stro ...

As the usage of FPGAs spreads, engineers will inevitably employ them in ways unforeseen-or unwanted-by their manufacturers. Xilinx's toolchains offer multiple points for customizing the FPGA compilation flow, but all flows must end with Vivado as it is the ...

We start this short note by introducing two remarkable mathematical objects: the E8E8 root lattice Lambda8Lambda8 in 8-dimensional Euclidean space and the Leech lattice Lambda24Lambda24 in 24-dimensional space. These two lattices stand out among their lat ...

In this paper, we study the compression of a target two-layer neural network with N nodes into a compressed network with M < N nodes. More precisely, we consider the setting in which the weights of the target network are i.i.d. sub-Gaussian, and we minimiz ...

Do handwriting skills transfer when a child writes in two different scripts, such as the Latin and Cyrillic alphabets? Are our measures of handwriting skills intrinsically bound to one alphabet or will a child who faces handwriting difficulties in one scri ...

This paper investigates the problem of secret key generation from correlated Gaussian random variables in the short blocklength regime. Short blocklengths are commonly employed in massively connected IoT sensor networks in 5G and beyond wireless systems. P ...

Network information theory studies the communication of information in a network and considers its fundamental limits. Motivating from the extensive presence of the networks in the daily life, the thesis studies the fundamental limits of particular network ...

Transaction processing is a central part of most database applications. While serializability remains the gold standard for desirable transactional semantics, many database systems offer improved transaction throughput at the expense of introducing potenti ...

LoRaWAN is a low-power wireless technology that provides long-range connectivity to battery-powered Internet of Things (IoT) devices. To minimize the energy consumption of the IoT nodes, LoRaWAN networks use for the uplink a pure non-slotted ALOHA multiple ...

In this work, we present a simple biometric indexing scheme which is binning and retrieving cancelable deep face templates based on frequent binary patterns. The simplicity of the proposed approach makes it applicable to unprotected as well as protected, i ...

Recently, a new adaptive path interpolation method has been developed as a simple and versatile scheme to calculate exactly the asymptotic mutual information of Bayesian inference problems defined on dense factor graphs. These include random linear and gen ...

A major obstacle to achieving global convergence in distributed and federated learning is the misalignment of gradients across clients, or mini-batches due to heterogeneity and stochasticity of the distributed data. In this work, we show that data heteroge ...

An important class of modern channel codes is the capacity-achieving sequences of low-density parity-check block codes. Such sequences are usually designed for the binary erasure channel and are decoded by iterative message-passing algorithms. In this pape ...

Kinetic models of metabolism relate metabolic fluxes, metabolite concentrations and enzyme levels through mechanistic relations, rendering them essential for understanding, predicting and optimizing the behaviour of living organisms. However, due to the la ...

Algebraic network information theory is an emerging facet of network information theory, studying the achievable rates of random code ensembles that have algebraic structure, such as random linear codes. A distinguishing feature is that linear combinations ...

Optima Age Over Erasure Channels

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On the Efficiency of Polar-Like Decoding for Symmetric Codes

Secret Key Generation Over Wireless Channels Using Short Blocklength Multilevel Source Polar Coding

Topology Optimization of Soft Magnetic Composites with Integer Programming

Polarization-Adjusted Convolutional (PAC) Codes: Sequential Decoding vs List Decoding

On Codes Decoding a Constant Fraction of Errors on the BSC

Relaxed Locally Correctable Codes With Nearly-Linear Block Length And Constant Query Complexity

Bitfiltrator: A general approach for reverse-engineering Xilinx bitstream formats

Almost impossible E_8 and Leech lattices

Sharp asymptotics on the compression of two-layer neural networks

The transferability of handwriting skills: from the Cyrillic to the Latin alphabet

Secret Key Generation Using Short Blocklength Polar Coding Over Wireless Channels

Feedback and Common Information: Bounds and Capacity for Gaussian Networks

Robustness Against Read Committed: A Free Transactional Lunch

Enhancing the Reliability of Dense LoRaWAN Networks With Multi-User Receivers

Indexing Protected Deep Face Templates by Frequent Binary Patterns

Adaptive Path Interpolation Method for Sparse Systems: Application to a Censored Block Model

Implicit Gradient Alignment in Distributed and Federated Learning

On the Universality of Low-Density Parity-Check Block Codes

Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks

Compute-Forward for DMCs: Simultaneous Decoding of Multiple Combinations