Abolfazl Hashemi
Orcid: 0000-0002-8421-4270
According to our database1,
Abolfazl Hashemi
authored at least 61 papers
between 2016 and 2025.
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Bibliography
2025
Randomized greedy methods for weak submodular sensor selection with robustness considerations.
Autom., 2025
2024
IEEE Trans. Autom. Control., March, 2024
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning.
CoRR, 2024
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes.
CoRR, 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis.
CoRR, 2024
AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression.
CoRR, 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing.
IEEE Control. Syst. Lett., 2023
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise.
IEEE Access, 2023
Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications.
IEEE Access, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Communication-Constrained Exchange of Zeroth-Order Information with Application to Collaborative Target Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2023
Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023
Randomized Greedy Algorithms for Sensor Selection in Large-Scale Satellite Constellations.
Proceedings of the American Control Conference, 2023
Proceedings of the 59th Annual Allerton Conference on Communication, 2023
Proceedings of the 59th Annual Allerton Conference on Communication, 2023
Noisy Communication of Information in Federated Learning: An Improved Convergence Analysis.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
High Probability Guarantees for Submodular Maximization via Boosted Stochastic Greedy.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
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
Signal Process., 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE Trans. Autom. Control., 2021
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations.
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
Proceedings of the 2021 American Control Conference, 2021
2020
CoRR, 2020
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization.
CoRR, 2020
Communication-Efficient Algorithms for Decentralized Optimization Over Directed Graphs.
CoRR, 2020
Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach.
Proceedings of the 2020 American Control Conference, 2020
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
Proceedings of the 36th International Conference on Machine Learning, 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
Proceedings of the IEEE Data Science Workshop, 2019
On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems.
Proceedings of the 2019 American Control Conference, 2019
2018
IEEE J. Sel. Top. Signal Process., 2018
Digit. Signal Process., 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
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares.
CoRR, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016