Haris Vikalo

Orcid: 0000-0002-7945-4114

According to our database1, Haris Vikalo authored at least 168 papers between 1999 and 2024.

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Bibliography

2024
Reducing communication in federated learning via efficient client sampling.
Pattern Recognit., April, 2024

Optimization of Offloading Policies for Accuracy-Delay Tradeoffs in Hierarchical Inference.
Proceedings of the IEEE INFOCOM 2024, 2024

Recovering Labels from Local Updates in Federated Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph-Based Reconstruction and Analysis of Disease Transmission Networks Using Viral Genomic Data.
J. Comput. Biol., July, 2023

Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints.
IEEE J. Sel. Top. Signal Process., January, 2023

Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling.
CoRR, 2023

XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples.
CoRR, 2023

Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information.
CoRR, 2023

The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder.
IEEE Trans. Wirel. Commun., 2022

On the Benefits of Progressively Increasing Sampling Sizes in Stochastic Greedy Weak Submodular Maximization.
IEEE Trans. Signal Process., 2022

On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning.
IEEE Trans. Parallel Distributed Syst., 2022

Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization Over Time-Varying Directed Graphs.
IEEE Trans. Autom. Control., 2022

Towards accelerated greedy sampling and reconstruction of bandlimited graph signals.
Signal Process., 2022

Federating recommendations using differentially private prototypes.
Pattern Recognit., 2022

End-to-end system for object detection from sub-sampled radar data.
Proceedings of the 30th European Signal Processing Conference, 2022

Deep learning for assembly of haplotypes and viral quasispecies from short and long sequencing reads.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Evolutionary Clustering via Message Passing.
IEEE Trans. Knowl. Data Eng., 2021

Randomized Greedy Sensor Selection: Leveraging Weak Submodularity.
IEEE Trans. Autom. Control., 2021

No-regret learning with high-probability in adversarial Markov decision processes.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications, 2021

Artifact: Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

RF-based Network Inference: Theoretical Foundations.
Proceedings of the 2021 IEEE Military Communications Conference, 2021

Optimizing Resource Constrained Distributed Collaborative Sensing.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Real-Time Radio Modulation Classification With An LSTM Auto-Encoder.
Proceedings of the IEEE International Conference on Acoustics, 2021

On the Performance-Complexity Tradeoff in Stochastic Greedy Weak Submodular Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Decentralized Optimization on Time-Varying Directed Graphs Under Communication Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2021

Online Learning with Implicit Exploration in Episodic Markov Decision Processes.
Proceedings of the 2021 American Control Conference, 2021

2020
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization.
CoRR, 2020

Communication-Efficient Federated Learning via Optimal Client Sampling.
CoRR, 2020

Communication-Efficient Algorithms for Decentralized Optimization Over Directed Graphs.
CoRR, 2020

A study of the learnability of relational properties: model counting meets machine learning (MCML).
Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach.
Proceedings of the 2020 American Control Conference, 2020

A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Matrix Completion and Performance Guarantees for Single Individual Haplotyping.
IEEE Trans. Signal Process., 2019

A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning).
CoRR, 2019

ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly.
CoRR, 2019

Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach.
CoRR, 2019

Stochastic-Greedy++: Closing the Optimality Gap in Exact Weak Submodular Maximization.
CoRR, 2019

Submodular Observation Selection and Information Gathering for Quadratic Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Learning Propagation Models over Irregular Terrain.
Proceedings of the IEEE International Conference on Acoustics, 2019

Evolutionary Subspace Clustering: Discovering Structure in Self-expressive Time-series Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Map Framework for Support Recovery of Sparse Signals Using Orthogonal Least Squares.
Proceedings of the IEEE International Conference on Acoustics, 2019

Weighted Subset Selection for Fast SVM Training.
Proceedings of the 27th European Signal Processing Conference, 2019

Online Topology Inference from Streaming Stationary Graph Signals.
Proceedings of the IEEE Data Science Workshop, 2019

Online selective training for faster neural network learning.
Proceedings of the IEEE Data Science Workshop, 2019

Reconstructing Intra-Tumor Heterogeneity via Convex Optimization and Branch-and-Bound Search.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems.
Proceedings of the 2019 American Control Conference, 2019

2018
Cyclic block coordinate minimization algorithms for DOA estimation in co-prime arrays.
Signal Process., 2018

Evolutionary Self-Expressive Models for Subspace Clustering.
IEEE J. Sel. Top. Signal Process., 2018

aBayesQR: A Bayesian Method for Reconstruction of Viral Populations Characterized by Low Diversity.
J. Comput. Biol., 2018

Accelerated orthogonal least-squares for large-scale sparse reconstruction.
Digit. Signal Process., 2018

Viral quasispecies reconstruction via tensor factorization with successive read removal.
Bioinform., 2018

Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Near-Optimal Distributed Estimation for a Network of Sensing Units Operating Under Communication Constraints.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Optimal Haplotype Assembly via a Branch-and-Bound Algorithm.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2017

Information-Theoretic Analysis of Haplotype Assembly.
IEEE Trans. Inf. Theory, 2017

Accelerated Sparse Subspace Clustering.
CoRR, 2017

Recovery of sparse signals via Branch and Bound Least-Squares.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Binary matrix completion with performance guarantees for single individual haplotyping.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Evolutionary affinity propagation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Data subset selection for efficient SVM training.
Proceedings of the 25th European Signal Processing Conference, 2017

Sampling-based binary-level cross-platform performance estimation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Sparse Tensor Decomposition for Haplotype Assembly of Diploids and Polyploids.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Viral quasispecies reconstruction via tensor factorization.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Decoding Genetic Variations: Communications-Inspired Haplotype Assembly.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Structured Low-Rank Matrix Factorization for Haplotype Assembly.
IEEE J. Sel. Top. Signal Process., 2016

End-to-End Optimization of High-Throughput DNA Sequencing.
J. Comput. Biol., 2016

Sparse recovery via Orthogonal Least-Squares under presence of Noise.
CoRR, 2016

Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares.
CoRR, 2016

Structurally-constrained gradient descent for matrix factorization in haplotype assembly problems.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Nonnegative gridless compressive sensing for co-prime arrays.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Beam tracking for mobile millimeter wave communication systems.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Sparse linear regression via generalized orthogonal least-squares.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Semi-Supervised Affinity Propagation with Soft Instance-Level Constraints.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Designing optimal mortality risk prediction scores that preserve clinical knowledge.
J. Biomed. Informatics, 2015

A Perspective on Future Research Directions in Information Theory.
CoRR, 2015

Joint haplotype assembly and genotype calling via sequential Monte Carlo algorithm.
BMC Bioinform., 2015

Distributed self localization of sensors with poisson deployment using extended Kalman filter.
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

Non-uniformity correction of IR images using natural scene statistics.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Iterative Learning for Reference-Guided DNA Sequence Assembly From Short Reads: Algorithms and Limits of Performance.
IEEE Trans. Signal Process., 2014

Sparsity-Aware Sphere Decoding: Algorithms and Complexity Analysis.
IEEE Trans. Signal Process., 2014

Haplotype assembly: An information theoretic view.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014

Iterative learning of single individual haplotypes from high-throughput DNA sequencing data.
Proceedings of the 8th International Symposium on Turbo Codes and Iterative Information Processing, 2014

Optimal haplotype assembly with statistical pruning.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Bayesian Active Learning for Drug Combinations.
IEEE Trans. Biomed. Eng., 2013

Message-Passing Algorithms for Coordinated Spectrum Sensing in Cognitive Radio Networks.
IEEE Commun. Lett., 2013

Base calling for high-throughput short-read sequencing: dynamic programming solutions.
BMC Bioinform., 2013

Message passing algorithm for inferring consensus sequence from next-generation sequencing data.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Expected complexity of sphere decoding for sparse integer least-square problems.
Proceedings of the IEEE International Conference on Acoustics, 2013

Deterministic sequential Monte Carlo for haplotype inference.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A message passing algorithm for haplotype assembly.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Greedy Sensor Selection under Channel Uncertainty.
IEEE Wirel. Commun. Lett., 2012

Joint Parameter Estimation and Base-Calling for Pyrosequencing Systems.
IEEE Trans. Signal Process., 2012

Estimating Parameters of Sampled Diffusion Processes in Affinity Biosensors.
IEEE Trans. Signal Process., 2012

Graphical Models and Inference on Graphs in Genomics: Challenges of high-throughput data analysis.
IEEE Signal Process. Mag., 2012

Distributed Algorithms for Spectrum Access in Cognitive Radio Relay Networks.
IEEE J. Sel. Areas Commun., 2012

ParticleCall: A particle filter for base calling in next-generation sequencing systems.
BMC Bioinform., 2012

OnlineCall: fast online parameter estimation and base calling for illumina's next-generation sequencing.
Bioinform., 2012

Base calling error rates in next-generation DNA sequencing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Adaptive experimental design for drug combinations.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

A message passing algorithm for reference-guided sequence assembly from high-throughput sequencing data.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011
Estimating Time-Varying Sparse Signals Under Communication Constraints.
IEEE Trans. Signal Process., 2011

Sequential Monte Carlo method for parameter estimation in diffusion models of affinity-based biosensors.
Proceedings of the IEEE International Conference on Acoustics, 2011

Distributed routing in networks using affinity propagation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Message-passing for base-calling in sequencing-by-synthesis systems.
Proceedings of the IEEE International Conference on Acoustics, 2011

A sequential Monte Carlo base-calling method for next-generation dna sequencing.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

A dual Kalman filter for parameter-state estimation in real-time DNA microarrays.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Base-calling for Illumina's next-generation DNA sequencing systems via Viterbi algorithm.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

An MCMC algorithm for base calling in sequencing-by-synthesis.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

A message-passing algorithm for spectrum access in cognitive radio relay networks.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Limits of performance of quantitative polymerase chain reaction systems.
IEEE Trans. Inf. Theory, 2010

An MCMC Algorithm for Target Estimation in Real-Time DNA Microarrays.
EURASIP J. Adv. Signal Process., 2010

Inferring Parameters of Gene Regulatory Networks via Particle Filtering.
EURASIP J. Adv. Signal Process., 2010

Maximum likelihood DNA sequence detection via sphere decoding.
Proceedings of the IEEE International Conference on Acoustics, 2010

Rao-Blackwellized unscented Kalman filter for nonlinear systems with bandwidth constraints.
Proceedings of the IEEE International Conference on Acoustics, 2010

Further results on message-passing algorithms for motif finding.
Proceedings of the IEEE International Conference on Acoustics, 2010

Inference of gene-regulatory networks using message-passing algorithms.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010

Model-based sequential base calling for Illumina sequencing.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010

Greedy sensor selection: Leveraging submodularity.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Performance of sphere decoding of block codes.
IEEE Trans. Commun., 2009

Target estimation in real-time polymerase chain reaction using sequential Monte Carlo.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Message-passing for motif finding.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

A particle filtering algorithm for parameter estimation in real-time biosensor arrays.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Stochastic modeling of reaction kinetics in biosensors using the Fokker Planck equation.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Limits of performance of real-time DNA microarrays.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Speeding up the Sphere Decoder With H<sup>infty</sup> and SDP Inspired Lower Bounds.
IEEE Trans. Signal Process., 2008

Modeling and Estimation for Real-Time Microarrays.
IEEE J. Sel. Top. Signal Process., 2008

Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays.
IEEE J. Sel. Top. Signal Process., 2008

Sparse measurements, compressed sampling, and DNA microarrays.
Proceedings of the IEEE International Conference on Acoustics, 2008

On estimation in real-time microarrays.
Proceedings of the IEEE International Conference on Acoustics, 2008

Estimation in real-time affinity-based biosensors.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
PEP analysis of SDP-based non-coherent signal detection.
Proceedings of the IEEE International Symposium on Information Theory, 2007

ML Estimation of DNA Initial Copy Number in Polymerase Chain Reaction (PCR) Processes.
Proceedings of the IEEE International Conference on Acoustics, 2007

PEP Analysis of the SDP Based Joint Channel Estimation and Signal Detection.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Efficient joint maximum-likelihood channel estimation and signal detection.
IEEE Trans. Wirel. Commun., 2006

Rate maximization in multi-antenna broadcast channels with linear preprocessing.
IEEE Trans. Wirel. Commun., 2006

A statistical model for microarrays, optimal estimation algorithms, and limits of performance.
IEEE Trans. Signal Process., 2006

On joint detection and decoding of linear block codes on Gaussian vector channels.
IEEE Trans. Signal Process., 2006

Sphere-Constrained ML Detection for Frequency-Selective Channels.
IEEE Trans. Commun., 2006

On Limits of Performance of Dna Microarrays.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Asymptotic Analysis of the Gaussian Broadcast Channel with Perturbation Preprocessing.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Further Results on Speeding up the Sphere Decoder.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
On the sphere-decoding algorithm II. Generalizations, second-order statistics, and applications to communications.
IEEE Trans. Signal Process., 2005

On the sphere-decoding algorithm I. Expected complexity.
IEEE Trans. Signal Process., 2005

On robust signal reconstruction in noisy filter banks.
Signal Process., 2005

Bounds on the performance of sphere decoding of linear block codes.
Proceedings of the IEEE ITSOC Information Theory Workshop 2005 on Coding and Complexity, 2005

A branch and bound approach to speed up the sphere decoder.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Iterative Decoding for MIMO Channels Via Modified Sphere Decoding.
IEEE Trans. Wirel. Commun., 2004

On the capacity of frequency- selective channels in training-based transmission schemes.
IEEE Trans. Signal Process., 2004

Statistical approach to ML decoding of linear block codes on symmetric channels.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

2003
Joint maximum-likelihood channel estimation and signal detection for SIMO channels.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Maximum-likelihood decoding and integer least-squares: The expected complexity.
Proceedings of the Multiantenna Channels: Capacity, 2003

2002
Maximum-Likelihood Sequence Detection of Multiple Antenna Systems over Dispersive Channels via Sphere Decoding.
EURASIP J. Adv. Signal Process., 2002

Towards closing the capacity gap on multiple antenna channels.
Proceedings of the IEEE International Conference on Acoustics, 2002

On the expected complexity of integer least-squares problems.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Optimal training for frequency-selective fading channels.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Energy efficient design of portable wireless systems.
Proceedings of the 2000 International Symposium on Low Power Electronics and Design, 2000

Mixed H<sup>2</sup>/H<sup>∞</sup> optimal signal reconstruction in noisy filter banks.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
On H<sup>∞</sup> optimal signal reconstruction in noisy filter banks.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999


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