Setareh Maghsudi

Orcid: 0000-0002-0647-611X

According to our database1, Setareh Maghsudi authored at least 95 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks.
IEEE Commun. Lett., August, 2024

A Repeated Auction Model for Load-Aware Dynamic Resource Allocation in Multi-Access Edge Computing.
IEEE Trans. Mob. Comput., July, 2024

Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization.
IEEE Trans. Wirel. Commun., June, 2024

Mobility-Aware Routing and Caching in Small Cell Networks Using Federated Learning.
IEEE Trans. Commun., 2024

Online Influence Maximization with Semi-Bandit Feedback under Corruptions.
CoRR, 2024

Distributed Management of Fluctuating Energy Resources in Dynamic Networked Systems.
CoRR, 2024

Budgeted Recommendation with Delayed Feedback.
CoRR, 2024

Budgeted Recommendation with Delayed Feedback.
Proceedings of the Good Practices and New Perspectives in Information Systems and Technologies, 2024

Gradual Change Detection in Covariance Matrix: A Lazy Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming.
Proceedings of the Advances in Swarm Intelligence, 2024

Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Age-Based Federated Learning Approach to In-Network Caching: An Online Scheduling Policy.
Proceedings of the IEEE International Conference on Communications, 2024

Meta Learning in Bandits within shared affine Subspaces.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Deep Learning and Image Super-Resolution-Guided Beam and Power Allocation for mmWave Networks.
IEEE Trans. Veh. Technol., November, 2023

Distributed Task Management in Fog Computing: A Socially Concave Bandit Game.
IEEE Trans. Green Commun. Netw., September, 2023

Piecewise-Stationary Multi-Objective Multi-Armed Bandit With Application to Joint Communications and Sensing.
IEEE Wirel. Commun. Lett., May, 2023

Data-Driven Online Recommender Systems With Costly Information Acquisition.
IEEE Trans. Serv. Comput., 2023

Distributed Cooperation Under Uncertainty in Drone-Based Wireless Networks: A Bayesian Coalitional Game.
IEEE Trans. Mob. Comput., 2023

Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards.
CoRR, 2023

Online Learning with Costly Features in Non-stationary Environments.
CoRR, 2023

Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards.
CoRR, 2023

Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit.
CoRR, 2023

Cooperative Thresholded Lasso for Sparse Linear Bandit.
CoRR, 2023

Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Towards Explainable Decision Making with Neural Program Synthesis and Library Learning.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Parallel Online Clustering of Bandits via Hedonic Game.
Proceedings of the International Conference on Machine Learning, 2023

Multi-Agent Learning from Learners.
Proceedings of the International Conference on Machine Learning, 2023

A Bandit Online Convex Optimization Approach To Distributed Energy Management In Networked Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Deep Reinforcement Learning Approach for Load Balancing in Open Radio Access Networks.
Proceedings of the IEEE Global Communications Conference, 2023

Robustness Implies Fairness in Causal Algorithmic Recourse.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Collaborative Regret Minimization for Piecewise-Stationary Multi-Armed Bandit.
Proceedings of the 31st European Signal Processing Conference, 2023

Cooperative Thresholded Lasso for Sparse Linear Bandit.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments.
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

2022
Computation Offloading in Heterogeneous Vehicular Edge Networks: On-Line and Off-Policy Bandit Solutions.
IEEE Trans. Mob. Comput., 2022

Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., 2022

Human-Game AI Interaction (Dagstuhl Seminar 22251).
Dagstuhl Reports, 2022

Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization.
CoRR, 2022

Bayesian Linear Bandits for Large-Scale Recommender Systems.
CoRR, 2022

Roadmap for edge AI: a Dagstuhl perspective.
Comput. Commun. Rev., 2022

Joint Coverage and Resource Allocation for Federated Learning in UAV-Enabled Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Distributed Task Management in the Heterogeneous Fog: A Socially Concave Bandit Game.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Hypothesis Transfer in Bandits by Weighted Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Imitation Learning of Logical Program Policies for Multi-Agent Reinforcement Learning.
Proceedings of the Joint Proceedings of Workshops, 2022

A Learning-Based Approach to Approximate Coded Computation.
Proceedings of the IEEE Information Theory Workshop, 2022

Linear Combinatorial Semi-Bandit with Causally Related Rewards.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Computational Models of Human Decision-Making with Application to the Internet of Everything.
IEEE Wirel. Commun., 2021

EdgeDASH: Exploiting Network-Assisted Adaptive Video Streaming for Edge Caching.
IEEE Trans. Netw. Serv. Manag., 2021

Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks With Uncertainty.
IEEE Trans. Cogn. Commun. Netw., 2021

Automatic Detection of Volcanic Unrest Using Blind Source Separation With a Minimum Spanning Tree Based Stability Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Personalized Education in the Artificial Intelligence Era: What to Expect Next.
IEEE Signal Process. Mag., 2021

Personalized Education in the AI Era: What to Expect Next?
CoRR, 2021

Mobility-Aware Routing and Caching: A Federated Learning Assisted Approach.
Proceedings of the ICC 2021, 2021

2020
A Non-Stationary Bandit-Learning Approach to Energy-Efficient Femto-Caching With Rateless-Coded Transmission.
IEEE Trans. Wirel. Commun., 2020

Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning.
CoRR, 2020

Multi-Armed Bandit for Edge Computing in Dynamic Networks with Uncertainty.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Towards Auction-Based Function Placement in Serverless Fog Platforms.
Proceedings of the 2020 IEEE International Conference on Fog Computing, 2020

2019
Distributed Task Management in Cyber-Physical Systems: How to Cooperate Under Uncertainty?
IEEE Trans. Cogn. Commun. Netw., 2019

Efficient Influence Maximization Under Network Uncertainty.
Proceedings of the IEEE INFOCOM 2019, 2019

A Bandit Learning Approach to Energy-Efficient Femto-Caching under Uncertainty.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

A Reverse Auction Model for Efficient Resource Allocation in Mobile Edge Computation Offloading.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Computation Offloading and Activation of Mobile Edge Computing Servers: A Minority Game.
IEEE Wirel. Commun. Lett., 2018

On Power-Efficient Planning in Dynamic Small Cell Networks.
IEEE Wirel. Commun. Lett., 2018

Cheat-Proof Distributed Power Control in Full-Duplex Small Cell Networks: A Repeated Game With Imperfect Public Monitoring.
IEEE Trans. Commun., 2018

2017
On Transmission Mode Selection in D2D-Enhanced Small Cell Networks.
IEEE Wirel. Commun. Lett., 2017

Minority Games With Applications to Distributed Decision Making and Control in Wireless Networks.
IEEE Wirel. Commun., 2017

Distributed User Association in Energy Harvesting Small Cell Networks: A Probabilistic Bandit Model.
IEEE Trans. Wirel. Commun., 2017

Distributed User Association in Energy Harvesting Small Cell Networks: An Exchange Economy With Uncertainty.
IEEE Trans. Green Commun. Netw., 2017

Mobile Edge Computation Offloading Using Game Theory and Reinforcement Learning.
CoRR, 2017

Game Theoretic Mechanisms for Resource Management in Massive Wireless IoT Systems.
IEEE Commun. Mag., 2017

Distributed User Association in Energy Harvesting Dense Small Cell Networks: A Mean-Field Multi-Armed Bandit Approach.
IEEE Access, 2017

Influence maximisation beyond organisational boundaries.
Proceedings of the 2017 IEEE SmartWorld, 2017

Heuristic Algorithms for Influence Maximization in Partially Observable Social Networks.
Proceedings of the 3rd International Workshop on Social Influence Analysis co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

2016
Multi-armed bandits with application to 5G small cells.
IEEE Wirel. Commun., 2016

Hybrid Centralized-Distributed Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks.
IEEE Trans. Veh. Technol., 2016

Distributed Cell Association for Energy Harvesting IoT Devices in Dense Small Cell Networks: A Mean-Field Multi-Armed Bandit Approach.
CoRR, 2016

Distributed User Association in Energy Harvesting Small Cell Networks: A Probabilistic Model.
CoRR, 2016

Distributed downlink user association in small cell networks with energy harvesting.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015
Distributed resource allocation in wireless networks: a game-theoretical learning framework.
PhD thesis, 2015

Channel Selection for Network-Assisted D2D Communication via No-Regret Bandit Learning With Calibrated Forecasting.
IEEE Trans. Wirel. Commun., 2015

Joint Channel Selection and Power Control in Infrastructureless Wireless Networks: A Multiplayer Multiarmed Bandit Framework.
IEEE Trans. Veh. Technol., 2015

Distributed User Association in Energy Harvesting Small Cell Networks: A Competitive Market Model with Uncertainty.
CoRR, 2015

Multi-armed bandit channel selection for power line communication.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

Joint channel allocation and power control for underlay D2D transmission.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

On channel selection for energy-constrained rateless-coded D2D communications.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Joint Channel Selection and Power Control in Infrastructureless Wireless Networks: A Multi-Player Multi-Armed Bandit Framework.
CoRR, 2014

Transmission mode selection for network-assisted device to device communication: A Levy-bandit approach.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Relay selection with no side information: An adversarial bandit approach.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Relay selection problem in wireless networks: A solution concept based on stochastic bandits and calibrated forecasters.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Dynamic bandit with covariates: Strategic solutions with application to wireless resource allocation.
Proceedings of IEEE International Conference on Communications, 2013

2012
A delay-constrained rateless coded incremental relaying protocol for two-hop transmission.
Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012

On network-coded rateless transmission: Protocol design, clustering and cooperator assignment.
Proceedings of the 2012 International Symposium on Wireless Communication Systems (ISWCS), 2012

Joint power allocation and relay selection for network-coded two-way relaying.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011
A new bandwidth allocation scheme for dual-hop transmission using virtual oligopoly market model and Cournot competition.
Proceedings of the 2011 IEEE Swedish Communication Technologies Workshop, 2011

A hybrid centralized-decentralized resource allocation scheme for two-hop transmission.
Proceedings of the 8th International Symposium on Wireless Communication Systems, 2011


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