Projects per year
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Dive into the research topics where H. Vincent Poor is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
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EAGER: Collaborative Research: Blockchain Graphs as Testbeds of Power Grid Resilience and Functionality Metrics
NSF - National Science Foundation
11/15/20 → 10/31/22
Project: Research project
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RAPID: Collaborative Research:The effects of evolutionary adaptations on the spreading of COVID-19
NSF - National Science Foundation
5/1/20 → 4/30/22
Project: Research project
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NSF:BSF:CIF: Small: A Unified View of Estimation and Information Relationships for Networks and Beyond
NSF - National Science Foundation
7/1/19 → 6/30/22
Project: Research project
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AMPS: Collaborative Research: Analysis of Local Power Grid Properties: from Network Motifs to Tensors
NSF - National Science Foundation
9/1/17 → 8/31/20
Project: Research project
Research output
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A Bayesian Approach to Sequential Change Detection and Isolation Problems
Chen, J., Zhang, W. & Poor, H. V., Mar 2021, In: IEEE Transactions on Information Theory. 67, 3, p. 1796-1803 8 p., 9284581.Research output: Contribution to journal › Article › peer-review
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A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems
Jeon, Y. S., Amiri, M. M., Li, J. & Poor, H. V., Mar 2021, In: IEEE Transactions on Wireless Communications. 20, 3, p. 1990-2004 15 p., 9269459.Research output: Contribution to journal › Article › peer-review
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A dCDD-Based Transmit Diversity Scheme for Downlink Pseudo-NOMA Systems
Kim, K. J., Liu, H., Lei, H., DIng, Z., Orlik, P. V. & Poor, H. V., Feb 2021, In: IEEE Transactions on Wireless Communications. 20, 2, p. 1217-1232 16 p., 9238509.Research output: Contribution to journal › Article › peer-review
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A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Chen, M., Yang, Z., Saad, W., Yin, C., Poor, H. V. & Cui, S., Jan 2021, In: IEEE Transactions on Wireless Communications. 20, 1, p. 269-283 15 p., 9210812.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks
Wang, S., Chen, M., Liu, X., Yin, C., Cui, S. & Vincent Poor, H., Feb 1 2021, In: IEEE Internet of Things Journal. 8, 3, p. 1358-1372 15 p., 9146372.Research output: Contribution to journal › Article › peer-review
2 Scopus citations