Haris Vikalo

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 100

Top Venues

Publications

Huancheng Chen, Haris Vikalo
Recovering Labels from Local Updates in Federated Learning. CoRR (2024)
Mónica Ribero, Haris Vikalo
Reducing communication in federated learning via efficient client sampling. Pattern Recognit. 148 (2024)
Yiyue Chen, Haris Vikalo, Chianing Wang
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity. AAAI (2024)
Hasan Burhan Beytur, Ahmet Gunhan Aydin, Gustavo de Veciana, Haris Vikalo
Optimization of Offloading Policies for Accuracy-Delay Tradeoffs in Hierarchical Inference. INFOCOM (2024)
Huancheng Chen, Haris Vikalo
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices. CoRR (2023)
Huancheng Chen, Haris Vikalo
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data. CVPR Workshops (2023)
Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo
Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information. CoRR (2023)
Ziqi Ke, Haris Vikalo
Graph-Based Reconstruction and Analysis of Disease Transmission Networks Using Viral Genomic Data. J. Comput. Biol. 30 (7) (2023)
Huancheng Chen, Haris Vikalo
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling. CoRR (2023)
Shorya Consul, John Robertson, Haris Vikalo
XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples. CoRR (2023)
Huancheng Chen, Chaining Wang, Haris Vikalo
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. ICLR (2023)
Yiyue Chen, Haris Vikalo, Chianing Johnny Wang
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity. CoRR (2023)
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks. ICASSP (2023)
Mónica Ribero, Haris Vikalo, Gustavo de Veciana
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints. IEEE J. Sel. Top. Signal Process. 17 (1) (2023)
Huancheng Chen, Johnny Wang, Haris Vikalo
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. CoRR (2023)
Mónica Ribero, Haris Vikalo, Gustavo de Veciana
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints. CoRR (2022)
Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Towards accelerated greedy sampling and reconstruction of bandlimited graph signals. Signal Process. 195 (2022)
Abolfazl Hashemi, Haris Vikalo, Gustavo de Veciana
On the Benefits of Progressively Increasing Sampling Sizes in Stochastic Greedy Weak Submodular Maximization. IEEE Trans. Signal Process. 70 (2022)
Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo
End-to-end system for object detection from sub-sampled radar data. CoRR (2022)
Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
Federating recommendations using differentially private prototypes. Pattern Recognit. 129 (2022)
Ziqi Ke, Haris Vikalo
Deep learning for assembly of haplotypes and viral quasispecies from short and long sequencing reads. BCB (2022)
Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. AAAI (2022)
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization Over Time-Varying Directed Graphs. IEEE Trans. Autom. Control. 67 (12) (2022)
Huancheng Chen, Haris Vikalo
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data. CoRR (2022)
Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo
End-to-end system for object detection from sub-sampled radar data. EUSIPCO (2022)
Ziqi Ke, Haris Vikalo
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder. IEEE Trans. Wirel. Commun. 21 (1) (2022)
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs. CoRR (2021)
Sangsu Lee, Xi Zheng, Jie Hua, Haris Vikalo, Christine Julien
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications. PerCom (2021)
Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. CoRR (2021)
Ziqi Ke, Haris Vikalo
Real-Time Radio Modulation Classification With An LSTM Auto-Encoder. ICASSP (2021)
Natalia M. Arzeno, Haris Vikalo
Evolutionary Clustering via Message Passing. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
No-regret learning with high-probability in adversarial Markov decision processes. UAI (2021)
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
Decentralized Optimization on Time-Varying Directed Graphs Under Communication Constraints. ICASSP (2021)
Shorya Consul, Hasan Burhan Beytur, Gustavo de Veciana, Haris Vikalo
RF-based Network Inference: Theoretical Foundations. MILCOM (2021)
Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
Online Learning with Implicit Exploration in Episodic Markov Decision Processes. ACC (2021)
Abolfazl Hashemi, Haris Vikalo, Gustavo de Veciana
On the Performance-Complexity Tradeoff in Stochastic Greedy Weak Submodular Optimization. ICASSP (2021)
Sangsu Lee, Xi Zheng, Jie Hua, Haris Vikalo, Christine Julien
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications. CoRR (2021)
Michael Stecklein, Hasan Burhan Beytur, Gustavo de Veciana, Haris Vikalo
Optimizing Resource Constrained Distributed Collaborative Sensing. ICC Workshops (2021)
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
Randomized Greedy Sensor Selection: Leveraging Weak Submodularity. IEEE Trans. Autom. Control. 66 (1) (2021)
Sangsu Lee, Xi Zheng, Jie Hua, Haris Vikalo, Christine Julien
Artifact: Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications. PerCom Workshops (2021)
Ziqi Ke, Haris Vikalo
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction. NeurIPS (2020)
Mónica Ribero, Haris Vikalo
Communication-Efficient Federated Learning via Optimal Client Sampling. CoRR (2020)
Ziqi Ke, Haris Vikalo
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction. AAAI (2020)
Ziqi Ke, Haris Vikalo
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder. CoRR (2020)
Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
Federating Recommendations Using Differentially Private Prototypes. CoRR (2020)
Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach. ACC (2020)
Muhammad Usman, Wenxi Wang, Marko Vasic, Kaiyuan Wang, Haris Vikalo, Sarfraz Khurshid
A study of the learnability of relational properties: model counting meets machine learning (MCML). PLDI (2020)
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
Communication-Efficient Algorithms for Decentralized Optimization Over Directed Graphs. CoRR (2020)
Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization. CoRR (2020)
Somsubhra Barik, Haris Vikalo
Matrix Completion and Performance Guarantees for Single Individual Haplotyping. IEEE Trans. Signal Process. 67 (18) (2019)
Rasoul Shafipour, Abolfazl Hashemi, Gonzalo Mateos, Haris Vikalo
Online Topology Inference from Streaming Stationary Graph Signals. DSW (2019)
Muhammad Usman, Wenxi Wang, Kaiyuan Wang, Marko Vasic, Haris Vikalo, Sarfraz Khurshid
A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning). CoRR (2019)
Shorya Consul, Haris Vikalo
Reconstructing Intra-Tumor Heterogeneity via Convex Optimization and Branch-and-Bound Search. BCB (2019)
Mónica Ribero, Robert W. Heath Jr., Haris Vikalo, Dmitry Chizhik, Reinaldo A. Valenzuela
Deep Learning Propagation Models over Irregular Terrain. ICASSP (2019)
Abolfazl Hashemi, Haris Vikalo
Evolutionary Subspace Clustering: Discovering Structure in Self-expressive Time-series Data. ICASSP (2019)
Abishek Sankararaman, Haris Vikalo, François Baccelli
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly. CoRR (2019)
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
Submodular Observation Selection and Information Gathering for Quadratic Models. ICML (2019)
Gustavo de Veciana, Abolfazl Hashemi, Haris Vikalo
Stochastic-Greedy++: Closing the Optimality Gap in Exact Weak Submodular Maximization. CoRR (2019)
Sara Mourad, Haris Vikalo, Ahmed H. Tewfik
Online selective training for faster neural network learning. DSW (2019)
Natalia M. Arzeno, Haris Vikalo
Evolutionary Clustering via Message Passing. CoRR (2019)
Sara Mourad, Ahmed H. Tewfik, Haris Vikalo
Weighted Subset Selection for Fast SVM Training. EUSIPCO (2019)
Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu
Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach. CoRR (2019)
Mahsa Ghasemi, Abolfazl Hashemi, Ufuk Topcu, Haris Vikalo
On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems. ACC (2019)
Ziqi Ke, Haris Vikalo
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction. CoRR (2019)
Shorya Consul, Abolfazl Hashemi, Haris Vikalo
A Map Framework for Support Recovery of Sparse Signals Using Orthogonal Least Squares. ICASSP (2019)
Abolfazl Hashemi, Haris Vikalo
Evolutionary Self-Expressive Models for Subspace Clustering. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Heeseong Yang, Joohwan Chun, Haris Vikalo
Cyclic block coordinate minimization algorithms for DOA estimation in co-prime arrays. Signal Process. 145 (2018)
Abolfazl Hashemi, Haris Vikalo
Evolutionary Self-Expressive Models for Subspace Clustering. CoRR (2018)
Somsubhra Barik, Haris Vikalo
Matrix Completion and Performance Guarantees for Single Individual Haplotyping. CoRR (2018)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. ICASSP (2018)
Soyeon Ahn, Haris Vikalo
aBayesQR: A Bayesian Method for Reconstruction of Viral Populations Characterized by Low Diversity. J. Comput. Biol. 25 (7) (2018)
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks. ACC (2018)
Abolfazl Hashemi, Haris Vikalo
Accelerated orthogonal least-squares for large-scale sparse reconstruction. Digit. Signal Process. 82 (2018)
Soyeon Ahn, Ziqi Ke, Haris Vikalo
Viral quasispecies reconstruction via tensor factorization with successive read removal. Bioinform. 34 (13) (2018)
Abolfazl Hashemi, Osman Fatih Kiliç, Haris Vikalo
Near-Optimal Distributed Estimation for a Network of Sensing Units Operating Under Communication Constraints. CDC (2018)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals. GlobalSIP (2018)
Soyeon Ahn, Ziqi Ke, Haris Vikalo
Viral quasispecies reconstruction via tensor factorization. Allerton (2017)
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu
A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks. CoRR (2017)
Shreepriya Das, Haris Vikalo
Optimal Haplotype Assembly via a Branch-and-Bound Algorithm. IEEE Trans. Mol. Biol. Multi Scale Commun. 3 (1) (2017)
Abolfazl Hashemi, Banghua Zhu, Haris Vikalo
Sparse Tensor Decomposition for Haplotype Assembly of Diploids and Polyploids. BCB (2017)
Xinnian Zheng, Haris Vikalo, Shuang Song, Lizy K. John, Andreas Gerstlauer
Sampling-based binary-level cross-platform performance estimation. DATE (2017)
Somsubhra Barik, Haris Vikalo
Binary matrix completion with performance guarantees for single individual haplotyping. ICASSP (2017)
Sara Mourad, Ahmed H. Tewfik, Haris Vikalo
Data subset selection for efficient SVM training. EUSIPCO (2017)
Abolfazl Hashemi, Haris Vikalo
Accelerated Sparse Subspace Clustering. CoRR (2017)
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. CoRR (2017)
Natalia M. Arzeno, Haris Vikalo
Evolutionary affinity propagation. ICASSP (2017)
Hongbo Si, Haris Vikalo, Sriram Vishwanath
Information-Theoretic Analysis of Haplotype Assembly. IEEE Trans. Inf. Theory 63 (6) (2017)
Soyeon Ahn, Haris Vikalo
aBayesQR: A Bayesian Method for Reconstruction of Viral Populations Characterized by Low Diversity. RECOMB (2017)
Abolfazl Hashemi, Haris Vikalo
Recovery of sparse signals via Branch and Bound Least-Squares. ICASSP (2017)
Abolfazl Hashemi, Haris Vikalo
Sparse linear regression via generalized orthogonal least-squares. GlobalSIP (2016)
Changxiao Cai, Sujay Sanghavi, Haris Vikalo
Structured Low-Rank Matrix Factorization for Haplotype Assembly. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Vutha Va, Haris Vikalo, Robert W. Heath Jr.
Beam tracking for mobile millimeter wave communication systems. GlobalSIP (2016)
Eliza O'Reilly, François Baccelli, Gustavo de Veciana, Haris Vikalo
End-to-End Optimization of High-Throughput DNA Sequencing. J. Comput. Biol. 23 (10) (2016)
Abolfazl Hashemi, Haris Vikalo
Sparse recovery via Orthogonal Least-Squares under presence of Noise. CoRR (2016)
Abolfazl Hashemi, Haris Vikalo
Sparse Linear Regression via Generalized Orthogonal Least-Squares. CoRR (2016)
Changxiao Cai, Sujay Sanghavi, Haris Vikalo
Structurally-constrained gradient descent for matrix factorization in haplotype assembly problems. ICASSP (2016)
Zrinka Puljiz, Haris Vikalo
Decoding Genetic Variations: Communications-Inspired Haplotype Assembly. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (3) (2016)
Abolfazl Hashemi, Haris Vikalo
Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares. CoRR (2016)
Heeseong Yang, Joohwan Chun, Haris Vikalo
Nonnegative gridless compressive sensing for co-prime arrays. GlobalSIP (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Haris Vikalo