FLchain: Federated Learning via MEC-enabled Blockchain Network. - Umer Majeed; Choong Seon Hong (APNOMS, 2019)

Federated Learning for Cellular Networks: Joint User Association and Resource Allocation. - Latif U. Khan; Umer Majeed; Choong Seon Hong (APNOMS, 2020)

Cross-Silo Horizontal Federated Learning for Flow-based Time-related-Features Oriented Traffic Classification. - Umer Majeed; Latif U. Khan; Choong Seon Hong (APNOMS, 2020)

Reliable Integrated Space-Oceanic Network Profit Maximization by Bender Decomposition Approach. - Sheikh Salman Hassan; Umer Majeed; Choong Seon Hong (ICOIN, 2021)

Cross-Silo Model-Based Secure Federated Transfer Learning for Flow-Based Traffic Classification. - Umer Majeed; Sheikh Salman Hassan; Choong Seon Hong (ICOIN, 2021)

ST-BFL: A Structured Transparency Empowered Cross-Silo Federated Learning on the Blockchain Framework. - Umer Majeed; Latif U. Khan; Abdullah Yousafzai; Zhu Han 001; Bang Ju Park; Choong Seon Hong (IEEE Access, 2021)

Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges. - Umer Majeed; Latif U. Khan; Ibrar Yaqoob; S. M. Ahsan Kazmi; Khaled Salah 001; Choong Seon Hong (J. Netw. Comput. Appl., 2021)

FedMarket: A Cryptocurrency Driven Marketplace for Mobile Federated Learning Services. - Abdullah Yousafzai; Latif U. Khan; Umer Majeed; Owais Hakeem; Choong Seon Hong (IEEE Access, 2022)

SFL-LEO: Secure Federated Learning Computation Based on LEO Satellites for 6G Non-Terrestrial Networks. - Sheikh Salman Hassan; Umer Majeed; Zhu Han 001; Choong Seon Hong (NOMS, 2023)

FL-Incentivizer: FL-NFT and FL-Tokens for Federated Learning Model Trading and Training. - Umer Majeed; Latif U. Khan; Sheikh Salman Hassan; Zhu Han 001; Choong Seon Hong (IEEE Access, 2023)