Editorial Board (Associate Editor) IEEE Transactions on Machine Learning in Communications and Networking, 2022 - present
Editorial Board (Associate Editor) IEEE Transactions on Green Communications and Networking, 2021 - 2026
Editorial Board (Associate Editor) Frontiers in Communications and Networks, Specialty Section on Data Science for Communications, 2020 - present
Editorial Activities - Guest Editing
Guest Co-Editor npj Wireless Technology special issue on Multimodal Generative Intelligence for 6G Immersive Communications. (2026)
Guest Co-Editor IEEE Journal on Selected Areas in Communications Special Issue on Digital Twins for Wireless Networks: Enabling Application-Aware and Closed-Loop Optimization (2026)
Guest Co-Editor IEEE Open Journal of the Communications Society Special Issue on Convergence of Advanced Generative AI and Digital Twin Technologies for Robust Optimization and Management of Next-Generation Wireless Networks (2025)
Guest Co-Editor IEEE Internet of Things Journal Special Issue on Edge Learning in B5G IoT Systems (2024)
Guest Co-Editor IEEE Journal on Selected Areas in Communications Special Issue on Positioning and Sensing Over Wireless Networks (2024)
Guest Co-Editor IEEE Network Special Issue on The Interplay Between Generative AI and
5G-Advanced Toward 6G (2024)
Guest Co-Editor IEEE Open Journal of the Communications Society Special Issue on Distributed Edge Learning in Wireless Networks (2022)
Guest Co-Editor IEEE Open Journal of the Communications Society Special Issue on Rate-Splitting and Multiple Access Techniques for 6G (2022)
Guest Co-Editor IEEE Journal on Selected Areas in Communications Special Issue on Distributed Learning over Wireless Edge Networks (2021)
Guest Co-Editor Frontiers in Communications and Networks Special Issue on Federated Learning meets 6G (2020)
Technical Meetings
Co-Chair for Access Network, Edge Computing and Transport Track at IEEE CSCN, Sep. 2026.
EDAS and Publication Co-Chair for IEEE MILCOM, Oct. 2026.
Co-Chair for Machine Learning and AI for Communications Track at IEEE VTC Fall, Sep. 2026.
Pulication Chair for IEEE DySPAN, May 2026.
Co-Chair for Signal Processing for Communications Track at IEEE ICC, May 2026.
Co-Chair for AI/ML Technologies Track at IEEE WF-IOT, Oct. 2025.
EDAS and Publication Co-Chair for IEEE MILCOM, Oct. 2025.
EDAS Lead for IEEE DySPAN, May 2025.
Co-Chair for AI/ML for Communications and Networking Track at IEEE CCNC, Jan. 2025.
EDAS and Publication Chair for IEEE DySPAN, May 2024.
EDAS Chair for IEEE WCNC, April 2024.
Publication Chair for IEEE ICMLCN, May 2024.
EDAS Chair for IEEE ICC, May 2023.
Co-Chair for IEEE ICC Workshop on Edge Learning over 5G Mobile Networks and Beyond, May 2023.
TPC Co-Chair for IEEE INFOCOM Workshop on Distributed Machine Learning and Fog Networks, May 2022.
Co-Chair for IEEE GLOBECOM Workshop on Edge Learning over 5G Networks and Beyond, December 2022.
Co-Chair for IEEE ICC Workshop on Edge Learning for 5G Mobile Networks and Beyond, May 2022.
TPC Co-Chair for IEEE INFOCOM Workshop on Distributed Machine Learning and Fog Networks, May 2021.
Co-Chair for IEEE ICC Workshop on Edge Learning for 5G Mobile Networks and Beyond, June 2021.
Co-Chair for IEEE WCNC Workshop on Distributed Machine Learning for Future Communications and Networking, March 2021.
Co-Chair for IEEE GLOBECOM Workshop on Edge Learning over 5G Networks and Beyond, December 2020.
Co-Chair for IEEE ICC Workshop on Edge Machine Learning for 5G Mobile Networks and Beyond, June 2020.
Other
“Wireless Communications for Federated Learning,” (with Kaibin Huang, Osvaldo Simeone, and Zhaohui Yang). Tutorial presented at the IEEE International Conference on Communications (ICC), Seoul, South Korea, May. 16 - 20, 2022
“Wireless Communications for Federated Learning,” (with Kaibin Huang, Kai Kit Wong, and Zhaohui Yang). Tutorial presented at the IEEE International Conference on Communications (ICC), Montreal, Canada, June. 14 - 18, 2021
“Wireless Communications for Federated Learning,” (with Kaibin Huang, Kai Kit Wong, and Zhaohui Yang). Tutorial presented at the IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China, Mar. 29 - Apr. 1, 2021
“Distributed Machine Learning over Wireless Networks: Challenges and Opportunities,” (with Mehdi Bennis and Walid Saad). Tutorial presented at the IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, December 7 - 11, 2020
Committee (TPC) Membership
International Conference on Machine Learning (ICML) Workshop on Federated Learning 2020, 2022
IEEE Global Communications Conference (GLOBECOM) 2020-2022
IEEE International Conference on Communications (ICC) 2019-2022
IEEE Vehicular Technology Conference (VTC) Fall 2020-2021
IEEE Vehicular Technology Conference (VTC) Spring 2017-2020