Seyyedali Hosseinalipour

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 125

Top Venues

CoRR

ICC

GLOBECOM

IEEE J. Sel. Areas Commun.

Publications

Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. IEEE Trans. Cogn. Commun. Netw. 10 (3) (2024)
Zhang Liu, Yifeng Zhao, Seyyedali Hosseinalipour, Zhibin Gao, Lianfen Huang, Huaiyu Dai
TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds. IEEE Trans. Veh. Technol. 73 (3) (2024)
Anurata Prabha Hridi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems. AAAI Spring Symposia (2024)
Myeung Suk Oh, Anindya Bijoy Das, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO. IEEE J. Sel. Areas Commun. 42 (2) (2024)
Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton
Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees. CoRR (2024)
Junghoon Kim, Taejoon Kim, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. CoRR (2024)
Payam Abdisarabshali, Minghui Liwang, Amir Rajabzadeh, Mahmood Ahmadi, Seyyedali Hosseinalipour
Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks Over Vehicular Clouds With Dynamic Resources. IEEE/ACM Trans. Netw. 32 (1) (2024)
Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton
Delay-Aware Hierarchical Federated Learning. IEEE Trans. Cogn. Commun. Netw. 10 (2) (2024)
Payam Abdisarabshali, Kwang Taik Kim, Michael Langberg, Weifeng Su, Seyyedali Hosseinalipour
Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection. CoRR (2024)
Kasra Borazjani, Naji Khosravan, Leslie Ying, Seyyedali Hosseinalipour
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities. CoRR (2024)
Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Christopher G. Brinton
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels. CoRR (2024)
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training. CoRR (2024)
Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang
Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks. IEEE/ACM Trans. Netw. 32 (1) (2024)
Seyyedali Hosseinalipour
Confluence of Random Walks, Interacting Particle Systems, and Distributed Machine Learning: Federated Learning through Crawling over Networks. AAAI Spring Symposia (2024)
Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. IEEE J. Sel. Areas Commun. 42 (5) (2024)
Zhang Liu, Hongyang Du, Junzhe Lin, Zhibin Gao, Lianfen Huang, Seyyedali Hosseinalipour, Dusit Niyato
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach. CoRR (2024)
Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Christopher G. Brinton, Mung Chiang
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. CoRR (2023)
Zhang Liu, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Zhibin Gao, Lianfen Huang
RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds. IEEE Trans. Veh. Technol. 72 (9) (2023)
Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, Xiaoyu Xia, Zhipeng Cheng, Xianbin Wang, Zhenzhen Jiao
Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks. CoRR (2023)
Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. CoRR (2023)
Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. CoRR (2023)
Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang
Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point. IEEE/ACM Trans. Netw. 31 (6) (2023)
Zhang Liu, Lianfen Huang, Zhibin Gao, Manman Luo, Seyyedali Hosseinalipour, Huaiyu Dai
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds. CoRR (2023)
Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang
UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. IEEE Trans. Netw. Serv. Manag. 20 (2) (2023)
Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks. CoRR (2023)
Zhan-Lun Chang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization. CoRR (2023)
Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, James V. Krogmeier, Christopher G. Brinton
Dynamic and Robust Sensor Selection Strategies for Wireless Positioning With TOA/RSS Measurement. IEEE Trans. Veh. Technol. 72 (11) (2023)
Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Yuhan Su, Xianbin Wang, Huaiyu Dai
Graph-Represented Computation-Intensive Task Scheduling Over Air-Ground Integrated Vehicular Networks. IEEE Trans. Serv. Comput. 16 (5) (2023)
Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. CoRR (2023)
Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. MobiHoc (2023)
Frank Po-Chen Lin, Seyyedali Hosseinalipour, Christopher G. Brinton, Nicolò Michelusi
Delay-Aware Hierarchical Federated Learning. CoRR (2023)
Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks. IEEE Commun. Mag. 61 (12) (2023)
Minghui Liwang, Bingshuo Guo, Zhanxi Ma, Yuhan Su, Seyyedali Hosseinalipour, Xianbin Wang, Huaiyu Dai
DISCO: Achieving Low Latency and High Reliability in Scheduling of Graph-Structured Tasks over Mobile Vehicular Cloud. CoRR (2023)
Payam Abdisarabshali, Nicholas Accurso, Filippo Malandra, Weifeng Su, Seyyedali Hosseinalipour
Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services. CoRR (2023)
Zhibin Gao, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-Assisted Networks. IEEE Trans. Mob. Comput. 21 (10) (2022)
Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices. CoRR (2022)
Zhang Liu, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Zhibin Gao, Lianfen Huang
RFID: Towards Low Latency and Reliable DAG Task Scheduling over Dynamic Vehicular Clouds. CoRR (2022)
Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. CDC (2022)
Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks. CoRR (2022)
Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
Linear Coding for Gaussian Two-Way Channels. Allerton (2022)
Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. CoRR (2022)
Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton
Can we Generalize and Distribute Private Representation Learning? AISTATS (2022)
Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Zhipeng Cheng, Xianbin Wang
Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing. CoRR (2022)
Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. IEEE J. Sel. Areas Commun. 40 (12) (2022)
Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai
Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks. IEEE/ACM Trans. Netw. 30 (4) (2022)
Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. CoRR (2022)
Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? CoRR (2022)
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew Lan, Christopher G. Brinton
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CIKM (2022)
Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton
Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. ICC (2022)
Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point. CoRR (2022)
Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Xiaofan He, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
Dynamic Interference Management for UAV-Assisted Wireless Networks. IEEE Trans. Wirel. Commun. 21 (4) (2022)
Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. GLOBECOM (2022)
Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton
Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. CoRR (2022)
David Nickel, Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity. ICC Workshops (2022)
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew Lan, Christopher G. Brinton
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. CoRR (2022)
Payam Abdisarabshali, Seyyedali Hosseinalipour, Minghui Liwang, Amir Rajabzadeh, Mahmood Ahmadi
Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks over Vehicular Clouds with Dynamic Resources. CoRR (2022)
Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton
Learning-Based Adaptive IRS Control With Limited Feedback Codebooks. IEEE Trans. Wirel. Commun. 21 (11) (2022)
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CoRR (2022)
Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. CoRR (2022)
Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR (2022)
Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton, Guanding Yu, Huaiyu Dai
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. IEEE Trans. Cloud Comput. 10 (4) (2022)
Minghui Liwang, Seyyedali Hosseinalipour, Zhibin Gao, Zhipeng Cheng, Yuhan Su, Xianbin Wang
Seamless Service Provisioning for Mobile Crowdsensing: Towards Integrating Forward and Spot Trading Markets. CoRR (2022)
Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
Linear Coding for Gaussian Two-Way Channels. CoRR (2022)
Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. GLOBECOM (2021)
David Nickel, Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity. CoRR (2021)
Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. CoRR (2021)
Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. INFOCOM (2021)
Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach. ICC Workshops (2021)
Seyyedali Hosseinalipour, Huaiyu Dai
A Two-Stage Auction Mechanism for Cloud Resource Allocation. IEEE Trans. Cloud Comput. 9 (3) (2021)
Yuhan Su, Minghui LiWang, Seyyedali Hosseinalipour, Lianfen Huang, Huaiyu Dai
Optimal Position Planning of UAV Relays in UAV-assisted Vehicular Networks. ICC (2021)
Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi
Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations. IEEE J. Sel. Areas Commun. 39 (12) (2021)
Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, Christopher G. Brinton, David J. Love
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. ICC (2021)
Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi
Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations. CoRR (2021)
Yuhan Su, Minghui Liwang, Seyyedali Hosseinalipour, Lianfen Huang, Huaiyu Dai
Cooperative Relaying and Power Control for UAV-Assisted Vehicular Networks with Deep Q-Network. ICCC (2021)
Seyyedali Hosseinalipour, Ali Rahmati, Do Young Eun, Huaiyu Dai
Energy-Aware Stochastic UAV-Assisted Surveillance. IEEE Trans. Wirel. Commun. 20 (5) (2021)
Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, Christopher G. Brinton, David J. Love
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. CoRR (2021)
Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. CoRR (2021)
Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton
Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. CoRR (2021)
Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor
Fast-Convergent Federated Learning. IEEE J. Sel. Areas Commun. 39 (1) (2021)
Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. CoRR (2021)
Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai
Interference Avoidance Position Planning in Dual-Hop and Multi-Hop UAV Relay Networks. IEEE Trans. Wirel. Commun. 19 (11) (2020)
Seyyedali Hosseinalipour, Ali Rahmati, Do Young Eun, Huaiyu Dai
Energy-Aware Stochastic UAV-Assisted Surveillance. CoRR (2020)
Seyyedali Hosseinalipour, Anuj Nayak, Huaiyu Dai
Power-Aware Allocation of Graph Jobs in Geo-Distributed Cloud Networks. IEEE Trans. Parallel Distributed Syst. 31 (4) (2020)
Ali Rahmati, Seyyedali Hosseinalipour, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming. SPAWC (2020)
Ali Rahmati, Seyyedali Hosseinalipour, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming. CoRR (2020)
Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai
Optimal Jammer Placement in UAV-assisted Relay Networks. ICC (2020)
Minghui LiWang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang
Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV. INFOCOM Workshops (2020)
Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton, Guanding Yu, Huaiyu Dai
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. CoRR (2020)
Minghui LiWang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang
Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV. CoRR (2020)
Zhibin Gao, Minghui LiWang, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks. CoRR (2020)
Seyyedali Hosseinalipour, Jiayu Mao, Do Young Eun, Huaiyu Dai
Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
Energy-Efficient Beamforming and Power Control for Uplink NOMA in mmWave UAV Networks. GLOBECOM (2020)
Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor
Fast-Convergent Federated Learning. CoRR (2020)
Minghui LiWang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai
Multi-Task Offloading over Vehicular Clouds under Graph-based Representation. ICC (2020)
Minghui LiWang, Seyyedali Hosseinalipour, Zhibin Gao, Yuliang Tang, Lianfen Huang, Huaiyu Dai
Allocation of Computation-Intensive Graph Jobs Over Vehicular Clouds in IoV. IEEE Internet Things J. 7 (1) (2020)
Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks. CoRR (2020)
Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications. CoRR (2020)
Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai
Optimal Jammer Placement in UAV-assisted Relay Networks. CoRR (2020)
Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE Commun. Mag. 58 (12) (2020)
Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Christopher G. Brinton, Carlee Joe-Wong, Saurabh Bagchi
Towards Generalized and Distributed Privacy-Preserving Representation Learning. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Seyyedali Hosseinalipour