Publications
Journal Papers
Differentially Private Federated Learning With Stragglers' Delays in Cross-Silo Settings: An Online Mirror Descent Approach O. Odeyomi, E. Tankard and D. Rawat Accepted at IEEE Transactions on Cognitive Communications and Networking , October 2023.
Online Decentralized Multi-Agents Meta-Learning With Byzantine Resiliency O. T. Odeyomi, B. Ude and K. Roy IEEE Access , July 2023.
Anomaly-based Intrusion Detection System for IoT Application M. Bhavsar, K. Roy, J. Kelly, O. Olusola Discover Internet of Things, Springer Nature , vol 3, no. 1, May. 2023.
Online Learning of Time-Varying Unbalanced Networks In Non-Convex Environments: A Multi-Armed Bandit Approach O. T. Odeyomi IEEE Access , vol. 11, pp. 15567-15577, 2023.
A Review of the Convergence of 5G/6G Architecture and Deep Learning, O. T. Odeyomi, Olubiyi O. Akintade, Temitayo O. Olowu, and G. Zaruba Undergoing Review at Digital Communications and Networks, Elsevier, 67(8), Aug. 2022.
Differential Privacy in Social Networks Using Multi-Armed Bandit O. T. Odeyomi IEEE Access , 68(6), 10, 11817-11829, 2022.
Learning the Truth by Weakly Connected Agents in Social Networks Using Online Learning O. T. Odeyomi IEEE Access , 8, 202090-202099, 2020.
Learning the Truth in Social Networks Using Online Learning O. T. Odeyomi IEEE Access , 8, 1-10, 2020.
Conference Papers
A Survey on Bias Mitigation in Federated Learning, B. Ude, O.T. Odeyomi, K. Roy, and X. Yuan Accepted at IEEE Symposium Series on Computational Intelligence (SSCI) July 2023,
Personalized Online Federated Learning With Differential Privacy in Constrained Environments: A Meta-Learning Approach, O. T. Odeyomi, A. Smith, A. Whitmore, and K. Roy Accepted at IEEE Global Communication Conference (GLOBECOM) 2023,
Differentially Private Online Federated Learning With Personalization and Fairness, O. T. Odeyomi Proceedings of the IEEE International Symposium on Information Theory (ISIT) Taipei, Taiwan, 2023.
Differentially Private Federated Learning With Byzantine Resiliency Using Online Mirror Descent, O. T. Odeyomi and G. Zaruba IEEE International Conference on Computing, Networking, and Communications (ICNC) Honolulu, HI, USA, 2023
Predicting Succinylation Sites in Proteins with Improved Deep Learning Architecture, O. T. Odeyomi and G. Zaruba Preprint, December 2021.
Privacy-Preserving Online Mirror Descent for Federated Learning Using Online Mirror Descent , O. T. Odeyomi and G. Zaruba Proceedings of the IEEE International Symposium on Computational Intelligence, (SSCI), Orlando, Florida, December 2021.
Differentially-Private Federated Learning With Long-Term Constraints Using Online Mirror Descent, O. T. Odeyomi and G. Zaruba Proceedings of the IEEE International Symposium on Information Theory, (ISIT), Melbourne, Australia, July 2021.
Differentially-private federated learning with long-term budget constraints using online lagrangian descent, O. T. Odeyomi and G. Zaruba Proceedings of the IEEE World AI IoT Congress, (AIIoT), Seattle, Washington, USA, May 2021.
An Optimal Approach for Maximizing the Sum Rate, L. Richard, O. T. Odeyomi, H. Kwon Proceedings of the Aerospace Conference, Big Sky, MT, USA, March 2021.
Mitigating Jamming Attacks in Uncoordinated Frequency Hopping Using Multi-Armed Bandit, O. T. Odeyomi Proceedings of the Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) , New York, NY, USA, October 2020.
Truth Prediction By Weakly Connected Agents In Social Networks Using Multi-Armed Bandit, O. T. Odeyomi Proceedings of the International Symposium on Networks, Computers and Communications (ISNCC) , Montreal, QC, Canada, October 2020.
Unknown Delay for Adversarial Bandit Setting with Multiple Play, O. T. Odeyomi Preprint October 2022
Time-varying truth prediction in social networks using online learning, O. T. Odeyomi and H. Kwon Proceedings of the IEEE International Conference on Computing, Networking and Communications (ICNC), Big Island, Hawaii, USA, February 2020.
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