Time-Varying Truth Prediction in Social Networks Using Online Learning. - Olusola Tolulope Odeyomi; Hyuck M. Kwon; David A. Murrell (ICNC, 2020)

Truth Prediction by Weakly Connected Agents in Social Networks Using Online Learning. - Olusola Tolulope Odeyomi (ISNCC, 2020)

Mitigating Jamming Attacks in Uncoordinated Frequency Hopping Using Multi-Armed Bandit. - Olusola Tolulope Odeyomi (UEMCON, 2020)

Learning the Truth in Social Networks Using Multi-Armed Bandit. - Olusola Tolulope Odeyomi (IEEE Access, 2020)

Learning the Truth by Weakly Connected Agents in Social Networks Using Multi-Armed Bandit. - Olusola Tolulope Odeyomi (IEEE Access, 2020)

Unknown Delay for Adversarial Bandit Setting with Multiple Play. - Olusola Tolulope Odeyomi (CoRR, 2020)

Differentially-Private Federated Learning with Long-Term Budget Constraints Using Online Lagrangian Descent. - Olusola Tolulope Odeyomi; Gergely Zaruba (AIIoT, 2021)

Differentially-Private Federated Learning with Long-Term Constraints Using Online Mirror Descent. - Olusola Tolulope Odeyomi; Gergely V. Záruba (ISIT, 2021)

Privacy-Preserving Online Mirror Descent for Federated Learning with Single-Sided Trust. - Olusola Tolulope Odeyomi; Gergely V. Záruba (SSCI, 2021)

Differential Privacy in Social Networks Using Multi-Armed Bandit. - Olusola Tolulope Odeyomi (IEEE Access, 2022)

Predicting Succinylation Sites in Proteins with Improved Deep Learning Architecture. - Olusola Tolulope Odeyomi; Gergely V. Záruba (CoRR, 2022)

A Review of the Convergence of 5G/6G Architecture and Deep Learning. - Olusola Tolulope Odeyomi; Olubiyi O. Akintade; Temitayo O. Olowu; Gergely V. Záruba (CoRR, 2022)

Byzantine-Resilient Federated Learning With Differential Privacy Using Online Mirror Descent. - Olusola Tolulope Odeyomi; Gergely Zaruba (ICNC, 2023)

Differentially Private Online Federated Learning With Personalization and Fairness. - Olusola Tolulope Odeyomi (ISIT, 2023)

A Survey on Bias Mitigation in Federated Learning. - Bassey Ude; Olusola Tolulope Odeyomi; Kaushik Roy 003; Xiaohong Yuan (SSCI, 2023)

Online Learning of Time-Varying Unbalanced Networks in Non-Convex Environments: A Multi-Armed Bandit Approach. - Olusola Tolulope Odeyomi (IEEE Access, 2023)

Online Decentralized Multi-Agents Meta-Learning With Byzantine Resiliency. - Olusola Tolulope Odeyomi; Bassey Ude; Kaushik Roy 003 (IEEE Access, 2023)

Anomaly-based intrusion detection system for IoT application. - Mansi Bhavsar; Kaushik Roy 003; John C. Kelly; Olusola Tolulope Odeyomi (Discov. Internet Things, 2023)

Preserving Medical Data with Renyi Differential Privacy. - Olusola Tolulope Odeyomi; Harshitha Karnati; Austin Smith (AIIoT, 2024)

Personalized Online Federated Learning With Differential Privacy in Constrained Environments: A Meta-Learning Approach. - Olusola Tolulope Odeyomi; Austin Smith; Adrienne Whitmore; Oluwadoyinsola Ige; Kaushik Roy (MILCOM, 2024)

A Hybrid Federated Learning Architecture With Online Learning and Model Compression. - Olusola Tolulope Odeyomi; Opeyemi Ajibuwa; Kaushik Roy 003 (IEEE Access, 2024)

Differentially Private Federated Learning With Stragglers' Delays in Cross-Silo Settings: An Online Mirror Descent Approach. - Olusola Tolulope Odeyomi; Earl Tankard; Danda B. Rawat (IEEE Trans. Cogn. Commun. Netw., 2024)

Online Non-Convex Non-Cooperative Cluster-Based Games With Byzantine Resiliency in Decentralized Multi-Agent Systems. - Olusola Tolulope Odeyomi; Temitayo O. Olowu; Opeyemi Ajibuwa; Abdollah Homaifar (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Enhancing Deepfake Detection using SE Block Attention with CNN. - Subhram Dasgupta; Janelle C. Mason; Xiaohong Yuan; Olusola Tolulope Odeyomi; Kaushik Roy 003 (CoRR, 2025)