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Abolfazl Hashemi
Abolfazl Hashemi
Assistant Professor of ECE, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
Faster non-convex federated learning via global and local momentum
R Das, A Acharya, A Hashemi, S Sanghavi, IS Dhillon, U Topcu
Uncertainty in Artificial Intelligence, 496-506, 2022
702022
Randomized greedy sensor selection: Leveraging weak submodularity
A Hashemi, M Ghasemi, H Vikalo, U Topcu
IEEE Transactions on Automatic Control, Jan 2021, 2021
602021
A randomized greedy algorithm for near-optimal sensor scheduling in large-scale sensor networks
A Hashemi, M Ghasemi, H Vikalo, U Topcu
2018 Annual American Control Conference (ACC), 1027-1032, 2018
382018
On the benefits of multiple gossip steps in communication-constrained decentralized federated learning
A Hashemi, A Acharya, R Das, H Vikalo, S Sanghavi, I Dhillon
IEEE Transactions on Parallel and Distributed Systems 33 (11), 2727-2739, 2021
312021
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
A Acharya, A Hashemi, P Jain, S Sanghavi, IS Dhillon, U Topcu
The 25th International Conference on Artificial Intelligence and Statistics …, 2022
292022
Sparse tensor decomposition for haplotype assembly of diploids and polyploids
A Hashemi, B Zhu, H Vikalo
BMC genomics 19, 1-15, 2018
272018
Online topology inference from streaming stationary graph signals
R Shafipour, A Hashemi, G Mateos, H Vikalo
2019 IEEE Data Science Workshop (DSW), 140-144, 2019
252019
Submodular observation selection and information gathering for quadratic models
A Hashemi, M Ghasemi, H Vikalo, U Topcu
2019 International Conference on Machine Learning (ICML) 1 (1), 1-10, 2019
252019
Sparse linear regression via generalized orthogonal least-squares
A Hashemi, H Vikalo
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
252016
Generalization bounds for sparse random feature expansions
A Hashemi, H Schaeffer, R Shi, U Topcu, G Tran, R Ward
Applied and Computational Harmonic Analysis 62, 310-330, 2023
232023
On the convergence of decentralized federated learning under imperfect information sharing
VP Chellapandi, A Upadhyay, A Hashemi, SH Żak
IEEE Control Systems Letters, 2023
192023
Accelerated orthogonal least-squares for large-scale sparse reconstruction
A Hashemi, H Vikalo
Digital Signal Processing 82, 91-105, 2018
172018
No-regret learning in dynamic stackelberg games
N Lauffer, M Ghasemi, A Hashemi, Y Savas, U Topcu
IEEE Transactions on Automatic Control, 2023
152023
Generalization bounds for sparse random feature expansions
A Hashemi, H Schaeffer, R Shi, U Topcu, G Tran, R Ward
arXiv preprint arXiv:2103.03191, 2021
152021
Evolutionary self-expressive models for subspace clustering
A Hashemi, H Vikalo
IEEE Journal of Selected Topics in Signal Processing 12 (6), 1534-1546, 2018
142018
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs
Y Chen, A Hashemi, H Vikalo
IEEE Transactions on Automatic Control, 2021
132021
Decentralized optimization on time-varying directed graphs under communication constraints
Y Chen, A Hashemi, H Vikalo
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
132021
Improved convergence rates for non-convex federated learning with compression
R Das, A Hashemi, S Sanghavi, IS Dhillon
arXiv preprint arXiv:2012.04061, 2020
102020
Asynchronous federated reinforcement learning with policy gradient updates: Algorithm design and convergence analysis
G Lan, DJ Han, A Hashemi, V Aggarwal, CG Brinton
arXiv preprint arXiv:2404.08003, 2024
92024
Towards Accelerated Greedy Sampling and Reconstruction of Bandlimited Graph Signals
A Hashemi, R Shafipour, H Vikalo, G Mateos
Elsevier Signal Processing, 2022
8*2022
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