Z. Liu, H. Du, J. Lin, Z. Gao, L. Huang, S. Hosseinalipour, D. Niyato, “DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov‑Guided Diffusion‑Based Reinforcement Learning Approach”, IEEE Transactions on Mobile Computing, (Decision: Major Revisions).
D. Han, W. Fang, S. Hosseinalipour, M. Chiang, C. G. Brinton, “Orchestrating Federated Learning in Space‑Air‑Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover”, IEEE Journal on Selected Areas in Communications (JSAC), 2024.
P. Abdisarabshali, K. Kim, M. Langberg, W. Su, S. Hosseinalipour, “Dynamic D2D‑Assisted Federated Learning over O‑RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection”, IEEE/ACM Transactions on Networking, (under review).
K. Borazjani, N. Khosravan, L. Ying, S. Hosseinalipour, “Multi‑Modal Federated Learning for Cancer Staging over Non‑IID Datasets with Unbalanced Modalities”, IEEE Transactions on Medical Imaging, 2024.
J. Kim, T. Kim, A. Das, S. Hosseinalipour, D. J Love, C. Brinton, “Coding for Gaussian Two‑Way Channels: Linear and Learning‑Based Approaches”, IEEE Transactions on Information Theory,(Decision: Major Revisions).
S. Wagle, S. Hosseinalipour, N. Khosravan, C. G. Brinton, “Unsupervised Federated Optimization at the Edge: D2D‑Enabled Learning without Labels”, IEEE Transactions on Cognitive Communications and Networking, 2024.
D. Han, S. Hosseinalipour, D. Love, M. Chiang, C. G. Brinton, “Cooperative Federated Learning over Ground‑to‑Satellite Integrated Networks: Joint Local Computation and Data Offloading”, IEEE Journal on Selected Areas in Communications (JSAC), 2024.
R. Parasnis, S. Hosseinalipour, Y. Chu, M. Chiang, C. G. Brinton, “Energy‑Efficient Connectivity‑Aware Learning over Time‑Varying D2D Networks”, IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2024.
B. Guo, M. Liwang, X. Xia, L. Li, S. Hosseinalipour, X. Wang, “Seamless Graph Task Scheduling over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions”, IEEE/ACM Transactions on Networking, (under review).
M. Liwang, B. Guo, Z. Ma, Y. Su, S. Hosseinalipour, X. Wang, H. Dai, “Unleashing the Potential of Stage‑Wise Decision‑Making in Scheduling of Graph‑Structured Tasks over Mobile Vehicular Clouds”, IEEE Communications Magazine, 2024.
Z. Liu, L. Huang, Z. Gao, M. Luo, S. Hosseinalipour, H. Dai, “GA‑DRL: Graph Neural Network‑Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds”, IEEE Transactions on Network and Service Management, 2024.
H. Qi, M. Liwang, S. Hosseinalipour, X. Xia, Z. Cheng, X. Wang, Z. Jiao, “Matching‑based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks”, IEEE Transactions on Services Computing, 2024.
Z. Chang, S. Hosseinalipour, M. Chiang, C. G. Brinton, “Asynchronous Multi‑Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization”, IEEE Transactions on Cognitive Communications and Networking, 2024.
S. Wang, S. Hosseinalipour, C. G. Brinton, “Multi‑Source to Multi‑Target Decentralized Federated Domain Adaptation” IEEE Transactions on Cognitive Communications and Networking, 2024.
S. Wang, R. Morabito, S. Hosseinalipour, M. Chiang, and C. G. Brinton, “Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks,” IEEE/ACM Transactions on Networking, 2024.
Z. Liu, Y. Zhao, S. Hosseinalipour, L. Huang, H. Dai, “TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling over Vehicular Clouds,” IEEE Transactions on Vehicular Technology, 2023.
F. P. Lin, S. Hosseinalipour, C. G. Brinton, N. Michelusi, “Delay‑Aware Hierarchical Federated Learning”, IEEE Transactions on Cognitive Communications and Networking, 2023.
S. Zehtabi, S. Hosseinalipour, C. G. Brinton, “Event‑Triggered Decentralized Federated Learning over Resource‑Constrained Edge Devices”, IEEE Transactions on Automatic Control, (under review).
Y. Chu, S. Hosseinalipour, E. Tenorio, L. Cruz, K. Douglas, A. Lan, C. Brinton, “Multi‑Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics”, IEEE Transactions on Emerging Topics in Computing, 2024.
M. S. Oh, A. B. Das, S. Hosseinalipour, T. Kim, D. J. Love, C. G. Brinton, “A Decentralized Pilot Assignment Methodology for Scalable O‑RAN Cell‑Free Massive MIMO”, IEEE Journal on Selected Areas in Communications (JSAC), 2023.
P. Abdisarabshali, N. Accurso, F. Malandra, W. Su, S. Hosseinalipour, “Synergies Between Federated Learning and O‑RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services”, IEEE Communications Magazine, (under review).
P. Abdisarabshali, M. Liwang, A. Rajabzadeh, M. Ahmadi, S. Hosseinalipour, “Decomposition Theory Meets Reliability Analysis: Processing of Computation‑Intensive Dependent Tasks over Vehicular Clouds with Dynamic Resources”, IEEE/ACM Transactions on Networking, 2023.
S. Wang, S. Hosseinalipour, V. Aggarwal, C. G. Brinton, D. J. Love, W. Su, M. Chiang, “Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks”, IEEE Communications Magazine, 2023.
S. Hosseinalipour, S. Wang, C. G. Brinton, N. Michelusi, V. Aggarwal, D. J. Love, M. Chiang, “Parallel Successive Learning for Online Distributed Model Training over Heterogeneous Wireless Networks,” IEEE/ACM Transactions on Networking, 2023.
B. Ganguly, S. Hosseinalipour, K. Kim, C. G. Brinton, V. Aggarwal, D. J. Love, M. Chiang, “Multi‑Edge Server‑Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point”, IEEE/ACM Transactions on Networking, 2023.
M. Liwang, Z. Cheng, W. Gong, Y. Su, Z. Jiao, S. Hosseinalipour, X. Wang, H. Dai, “Accelerating the Delivery of Data Services over Uncertain Mobile Crowdsensing Networks”, IEEE Wireless Communications, 2024.
M. Liwang, Z. Gao, S. Hosseinalipour, Z. Cheng, X. Wang, “Long‑Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing”, IEEE Transactions on Mobile Computing, (under review).
M. Liwang, Z. Gao, S. Hosseinalipour, Y. Su, X. Wang, H. Dai, “Graph‑Represented Computation‑Intensive Task Scheduling over Air‑Ground Integrated Vehicular Networks”, IEEE Transactions on Services Computing, 2023.
M. S. Oh, S. Hosseinalipour, A. Marcum, T. Kim, D. J. Love, J. V. Krogmeier, C. G. Brinton, “Dynamic and Robust Sensor Selection Strategies for Wireless Positioning with TOA/RSS Measurement,” IEEE Transactions on Vehicular Technology, 2023.
Z. Liu, M. Liwang, S. Hosseinalipour, H. Dai, Z. Gao, L. Huang, “RFID: Towards Low Latency and Reliable DAG Task Scheduling over Dynamic Vehicular Clouds”, IEEE Transactions on Vehicular Technology, 2023.
S. Wang, S. Hosseinalipour, M. Gorlatova, C. G. Brinton, M. Chiang, “UAV‑assisted Online Machine Learning over Multi‑Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach,” IEEE Transactions on Network and Service Management, 2022.
D. C. Nguyen, S. Hosseinalipour, D. J. Love, P. N. Pathirana, C. G. Brinton, “ Latency Optimization for Blockchain‑Empowered Federated Learning in Multi‑Server Edge Computing,” IEEE Journal on Selected Areas in Communications, 2022.
J. Kim, S. Hosseinalipour, A. Marcum, T. Kim, C. G. Brinton, D. J. Love, “Learning‑based Adaptive IRS Control with Limited Feedback Codebooks,” IEEE Transactions on Wireless Communications, 2022.
S. Hosseinalipour, S. S. Azam, C. G. Brinton, N. Michelusi, V. Aggarwal, D. J. Love, H. Dai, “Multi‑Stage Hybrid Federated Learning over Large‑Scale Wireless Fog Networks,” IEEE/ACM Transactions on Networking, 2022. (***Winner of the IEEE Communications Society William Bennett Prize, 2024***)
A. Rahmati, S. Hosseinalipour, Y. Yapici, X. He, I. Guvenc, H. Dai, A. Bhuyan, “Dynamic Interference Management for UAV‑Assisted Wireless Networks,” IEEE Transactions on Wireless Communications, 2021.
F. Lin, S. Hosseinalipour, S. S. Azam, C. G. Brinton, N. Michelusi, “Semi‑Decentralized Federated Learning with Cooperative D2D Local Model Aggregations,” IEEE Journal on Selected Areas in Communications (JSAC), 2021.
M. Liwang, Z. Gao, S. Hosseinalipour, H. Dai, X. Wang, “A Truthful Auction for Graph Job Allocation in Vehicular Cloud‑assisted Networks,” IEEE Transactions on Mobile Computing, 2021.
S. Hosseinalipour, A. Rahmati, D. Y. Eun, H. Dai, “Energy‑Aware Stochastic UAV‑assisted Surveillance,” IEEE Transactions on Wireless Communications, 2021.
M. Lee, S. Hosseinalipour, C. G. Brinton, G. Yu, H. Dai, “A Fast Graph Neural Network‑Based Method for Winner Determination in Multi‑Unit Combinatorial Auctions,” IEEE Transactions on Cloud Computing, 2021.
S. Hosseinalipour, C. G. Brinton, V. Aggarwal, H. Dai, M. Chiang, “From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks,” IEEE Communications Magazine, 2020.
H. T. Nguyen, V. Sehwag, S. Hosseinalipour, C. G. Brinton, M. Chiang, H. Vincent Poor, “Fast‑Convergent Federated Learning,” IEEE Journal on Selected Areas in Communications (JSAC), 2020.
S. Hosseinalipour, A. Rahmati, H. Dai, “Interference Avoidance Position Planning in Dual‑hop and Multi‑hop UAV Relay Networks,” IEEE Transactions on Wireless Communications, 2020.
S. Hosseinalipour, A. Nayak, H. Dai, “Power‑Aware Allocation of Graph Jobs in Geo‑Distributed Cloud Networks,” IEEE Transactions on Parallel and Distributed Systems, 2019.
S. Hosseinalipour, H. Dai, “A Two‑Stage Auction Mechanism for Cloud Resource Allocation,” IEEE Transactions on Cloud Computing, 2019.
S. Hosseinalipour, J. Mao, D. Y. Eun, H. Dai, “Prevention and Mitigation of Catastrophic Failures in Demand‑Supply Interdependent Networks,” IEEE Transactions on Network Science and Engineering, 2019.
M. Liwang, S. Hosseinalipour, Z. Gao, Y. Tang, L. Huang, H. Dai, “Allocation of Computation‑Intensive Graph Jobs over Vehicular Clouds in IoV,” IEEE Internet of Things Journal, 2019.
S. Hosseinalipour, J. Wang, Y. Tian, H. Dai, “Infection Analysis on Irregular Networks through Graph Signal Processing,” IEEE Transactions on Network Science and Engineering, 2019.
S. Chattopadhyay, H. Dai, D. Y. Eun, S. Hosseinalipour, “Designing Optimal Interlink Patterns to Maximize Robustness of Interdependent Networks Against Cascading Failures,” IEEE Transactions on Communications, 2017.
S. Hosseinalipour, A. Sakzad, M‑R. Sadeghi, “Performance of Mobius interleavers for turbo codes,” Wireless Personal Communications, 2018.
A. P. Hridi, R. Sahay, S. Hosseinalipour, B. Akram, “Revolutionizing AI‑Assisted Education with Federated Learning: A Pathway to Distributed, Privacy‑Preserving, and Debiased Learning Ecosystems”, Proceedings of the AAAI conference on artificial intelligence (SSS‑24 Symposium on Federated Learning at the Edge), 2024.
D. Han, S. Hosseinalipour, D. Love, M. Chiang, C. G. Brinton, “Cooperative Federated Learning over Hybrid Terrestrial and Non‑Terrestrial Networks”, IEEE International Conference on Communications (ICC), 2024.
B. Guo, M. Liwang, F. Yang, S. Hosseinalipour, X. Wang, H. Dai, “Real‑time and Low‑Overhead Graph Task Scheduling over Vehicular Computing‑assisted Edge Networks”, IEEE International Conference on Communications (ICC), 2024.
R. Parasnis, S. Hosseinalipour, Y. Chu, M. Chiang, C. G. Brinton, “Connectivity‑Aware Semi‑Decentralized Federated Learning over Time‑Varying D2D Networks”, 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), 2023.
J. Kim, S. Hosseinalipour, T. Kim, D. J. Love, C. G. Brinton, “Linear Coding for Gaussian Two‑Way Channels”, Allerton Conference on Communication, Control, and Computing (Allerton), 2022.
S. Wagle, S. Hosseinalipour, N. Khosravan, M. Chiang, C. G. Brinton, “Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange”, IEEE Global Communications Conference (GLOBECOM), 2022.
Y. W. Chu, S. Hosseinalipour, E. Tenorio, L. Cruz, K. Douglas, A. Lan, C. G. Brinton, “Mitigating Biases in Student Performance Prediction via Attention‑Based Personalized Federated Learning”, ACM International Conference on Information and Knowledge Management (CIKM), 2022.
D. Nickel, F. Lin, S. Hosseinalipour, N. Michelusi, C. G. Brinton, “Resource‑efficient and delay‑aware federated learning design under edge heterogeneity”, IEEE International Conference on Communications (ICC) Workshops, 2022.
S. Zehtabi, S. Hosseinalipour, C. G. Brinton, “Decentralized Event‑Triggered Federated Learning with Heterogeneous Communication Thresholds”, IEEE Conference on Decision and Control (CDC), 2022.
S. S. Azam, S. Hosseinalipour, Q. Qiu, C. G. Brinton, “Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low‑Rank?,” International Conference on Learning Representations (ICLR), 2022.
S. S. Azam, T. Kim, S. Hosseinalipour, C. J. Wang, S. Bagchi, C. G. Brinton, “Can we Generalize and Distribute Private Representation Learning?,” International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.
J. Kim, S. Hosseinalipour, A. Marcum, T. Kim, D. J. Love, C. G. Brinton, “Deep Reinforcement Learning‑Based Adaptive IRS Control with Limited Feedback Codebooks,” IEEE International Conference on Communications (ICC), 2022.
S. S. Azam, T. Kim, S. Hosseinalipour, C. G. Brinton, C. J. Wang, S. Bagchi, “Towards Generalized and Distributed Privacy‑Preserving Representation Learning,” Neural Information Processing Systems (NeurIPS) Workshop on Deep Generative Models and Downstream Applications, 2021.
F. Lin, S. Hosseinalipour, S. S. Azam, C. G. Brinton, N. Michelusi, “Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling,” in Proceedings of IEEE Global Communications Conference (GLOBECOM), 2021.
Y. Su, M. LiWang, S. Hosseinalipour, L. Huang, H. Dai, “Cooperative Relaying and Power Control for UAV‑Assisted Vehicular Networks with Deep Q‑Network”, in proceedings of IEEE International Conference on Communications in China (ICCC), 2021.
S. Wang, M. Lee, S. Hosseinalipour, R. Morabito, M. Chiang, and C. G. Brinton, “Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation,” in proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2021.
J. Kim, S. Hosseinalipour, T. Kim, and D. J. Love, C. G. Brinton, “Multi‑IRS‑assisted Multi‑Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach,” IEEE International Conference on Communications Workshop (ICC WKSH), 2021.
M. S. Oh, S. Hosseinalipour, T. Kim, C. G. Brinton, and D. J. Love, “Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach,” in proceedings of IEEE International Conference on Communications (ICC), 2021.
Y. Su, M. LiWang, S. Hosseinalipour, L. Huang, H. Dai, “Optimal Position Planning of UAV relays in UAV‑assisted Vehicular Networks”, in proceedings of IEEE International Conference on Communications (ICC), 2021.
S. Hosseinalipour, A. Rahmati, H. Dai, “Optimal Jammer Placement in UAV‑assisted Relay Networks,” in proceedings of IEEE International Conference on Communications (ICC), 2020.
A. Rahmati, S. Hosseinalipour, Y. Yapici, X. He, I. Guvenc, H. Dai, A. Bhuyan,“Energy‑Efficient Beamforming and Power Control for Uplink NOMA in mmWave UAV Networks,” in proceedings of IEEE Global communications conference (GLOBECOM), 2020.
M. Liwang, Z. Gao, S. Hosseinalipour, H. Dai, “Multi‑Task Offloading over Vehicular Clouds under Graph‑based Representation,” in proceedings of IEEE International Conference on Communications (ICC), 2020.
M. Liwang, Z. Gao, S. Hosseinalipour, H. Dai, X. Wang, “Energy‑aware Allocation of Graph Jobs in Vehicular Cloud Computing‑enabled Software‑defined IoV,” IEEE International Conference on Computer Communications Workshops (INFOCOM WKSH), 2020.
A. Rahmati, S. Hosseinalipour, İsmail Güvenç, H. Dai, and A. Bhuyan, “Lifetime Maximization for UAV‑assisted Data Gathering Networks in the Presence of Jamming,” IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020.
S. Hosseinalipour, A. Rahmati, H. Dai, “Interference Avoidance Position Planning in UAV‑assisted Wireless Communication,” in proceedings of IEEE International Conference on Communication (ICC), 2019.
A. Nayak, S. Hosseinalipour, H. Dai, “Smart Information Spreading for Opinion Maximization in Social Networks,” in proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2019.
A. Rahmati, S. Hosseinalipour, Y. Yapici, X. He, I. Guvenc, H. Dai, A. Bhuyan, “Interference Avoidance in UAV‑Assisted Networks: Joint 3D Trajectory Design and Power Allocation,” in proceedings of IEEE Global communications conference (GLOBECOM), 2019.
A. Rahmati, S. Hosseinalipour, H. Dai, “Optimal Time Allocation in VANETs Advertising: A Price‑Based Approach using Stacklberg Game,” in proceedings of IEEE International Conference on Communications (ICC), 2019.
S. Hosseinalipour, and H. Dai, “Options‑based Sequential Auctions for Dynamic Cloud Resource Allocation,” in proceedings of IEEE International Conference on Communication (ICC), 2017.
S. Hosseinalipour, J. Wang, H. Dai, and W. Wang “Detection of Infections using Graph Signal Processing in Heterogeneous Networks,” in proceedings of IEEE Global communications conference (GLOBECOM), 2017.
S. Hosseinalipour, A. Nayak, H. Dai, “Real‑Time Strategy Selection for Mobile Advertising in VANETs,” in proceedings of IEEE Global communications conference (GLOBECOM), 2017.
A. Nayak, S. Hosseinalipour, H. Dai, “Dynamic Advertising in VANETs using Repeated Auctions,” in proceedings of IEEE Global communications conference (GLOBECOM), 2017.
S. Hosseinalipour, A. Sakzad, M‑R. Sadeghi, “Minimum Free Distance of CCSDS Turbo Encoders under (Truncated) Mobius Interleavers,” in Iranian Workshop on Communication and Information Theory (IWCIT), 2015.