Seyyedali Hosseinalipour
Orcid: 0000-0003-4266-4000
According to our database1,
Seyyedali Hosseinalipour
authored at least 95 papers
between 2015 and 2024.
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Bibliography
2024
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks.
IEEE/ACM Trans. Netw., October, 2024
Asynchronous Multi-Model Dynamic Federated Learning Over Wireless Networks: Theory, Modeling, and Optimization.
IEEE Trans. Cogn. Commun. Netw., October, 2024
IEEE Internet Things Mag., September, 2024
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling Over Dynamic Vehicular Clouds.
IEEE Trans. Netw. Serv. Manag., August, 2024
IEEE Trans. Cogn. Commun. Netw., June, 2024
Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading.
IEEE J. Sel. Areas Commun., May, 2024
IEEE Trans. Cogn. Commun. Netw., April, 2024
TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds.
IEEE Trans. Veh. Technol., March, 2024
Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks.
IEEE/ACM Trans. Netw., February, 2024
Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks Over Vehicular Clouds With Dynamic Resources.
IEEE/ACM Trans. Netw., February, 2024
A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO.
IEEE J. Sel. Areas Commun., February, 2024
Matching-Based Hybrid Service Trading for Task Assignment Over Dynamic Mobile Crowdsensing Networks.
IEEE Trans. Serv. Comput., 2024
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction.
CoRR, 2024
Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover.
CoRR, 2024
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach.
CoRR, 2024
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels.
CoRR, 2024
Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection.
CoRR, 2024
Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees.
CoRR, 2024
Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training.
CoRR, 2024
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities.
CoRR, 2024
CoRR, 2024
Proceedings of the IEEE International Conference on Communications, 2024
Real-Time and Low-Overhead Graph Task Scheduling over Vehicular Computing-Assisted Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2024
Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024
Confluence of Random Walks, Interacting Particle Systems, and Distributed Machine Learning: Federated Learning through Crawling over Networks.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024
2023
Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point.
IEEE/ACM Trans. Netw., December, 2023
IEEE Commun. Mag., December, 2023
Dynamic and Robust Sensor Selection Strategies for Wireless Positioning With TOA/RSS Measurement.
IEEE Trans. Veh. Technol., November, 2023
RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds.
IEEE Trans. Veh. Technol., September, 2023
UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach.
IEEE Trans. Netw. Serv. Manag., June, 2023
Graph-Represented Computation-Intensive Task Scheduling Over Air-Ground Integrated Vehicular Networks.
IEEE Trans. Serv. Comput., 2023
DISCO: Achieving Low Latency and High Reliability in Scheduling of Graph-Structured Tasks over Mobile Vehicular Cloud.
CoRR, 2023
Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization.
CoRR, 2023
Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services.
CoRR, 2023
CoRR, 2023
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023
2022
IEEE Trans. Wirel. Commun., 2022
IEEE Trans. Wirel. Commun., 2022
IEEE/ACM Trans. Netw., 2022
IEEE Trans. Mob. Comput., 2022
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions.
IEEE Trans. Cloud Comput., 2022
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing.
IEEE J. Sel. Areas Commun., 2022
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics.
CoRR, 2022
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices.
CoRR, 2022
Seamless Service Provisioning for Mobile Crowdsensing: Towards Integrating Forward and Spot Trading Markets.
CoRR, 2022
Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022
Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE Trans. Cloud Comput., 2021
IEEE J. Sel. Areas Commun., 2021
Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations.
CoRR, 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Cooperative Relaying and Power Control for UAV-Assisted Vehicular Networks with Deep Q-Network.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021
Proceedings of the ICC 2021, 2021
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach.
Proceedings of the ICC 2021, 2021
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling.
Proceedings of the IEEE Global Communications Conference, 2021
2020
Interference Avoidance Position Planning in Dual-Hop and Multi-Hop UAV Relay Networks.
IEEE Trans. Wirel. Commun., 2020
IEEE Trans. Parallel Distributed Syst., 2020
IEEE Trans. Netw. Sci. Eng., 2020
Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks.
IEEE Trans. Netw. Sci. Eng., 2020
IEEE Internet Things J., 2020
Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications.
CoRR, 2020
CoRR, 2020
CoRR, 2020
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks.
CoRR, 2020
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks.
IEEE Commun. Mag., 2020
Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020
Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Energy-Efficient Beamforming and Power Control for Uplink NOMA in mmWave UAV Networks.
Proceedings of the IEEE Global Communications Conference, 2020
2019
Optimal Time Allocation in VANETs Advertising: A Price-based Approach using Stackelberg Game.
CoRR, 2019
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Optimal Time Allocation in VANETs Advertising: A Price-Based Approach using Stacklberg Game.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
2017
Designing Optimal Interlink Patterns to Maximize Robustness of Interdependent Networks Against Cascading Failures.
IEEE Trans. Commun., 2017
Proceedings of the IEEE International Conference on Communications, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2015
Proceedings of the Iran Workshop on Communication and Information Theory, 2015