Monitoring for Power-Line Change and Outage Detection in Smart Grid via the Alternating Direction Method of Multipliers. - Liang Zhao 024; Wen-Zhan Song 001; Lang Tong 001; Yuan Wu 001 (AINA Workshops, 2014)

A new multi-objective microgrid restoration via semidefinite programming. - Liang Zhao 024; Wen-Zhan Song 001 (IPCCC, 2014)

Distributed Power-Line Outage Detection Based on Wide Area Measurement System. - Liang Zhao 024; Wen-Zhan Song 001 (Sensors, 2014)

Fast decentralized gradient descent method and applications to in-situ seismic tomography. - Liang Zhao 024; Wen-Zhan Song 001; Xiaojing Ye (IEEE BigData, 2015)

Distributed Least-Squares Iterative Methods in Networks: A Survey. - Lei Shi 014; Liang Zhao 024; Wen-Zhan Song 001; Goutham Kamath; Yuan Wu 001; Xuefeng Liu 001 (CoRR, 2017)

Decentralized consensus in distributed networks. - Liang Zhao 024; Wen-Zhan Song 001 (Int. J. Parallel Emergent Distributed Syst., 2018)

Asynchronous broadcast-based decentralized learning in sensor networks. - Liang Zhao 024; Wen-Zhan Song 001; Xiaojing Ye; Yujie Gu 001 (Int. J. Parallel Emergent Distributed Syst., 2018)

Fast Decentralized Data Analytics in IoT Wireless Networks. - Liang Zhao 024 (IEEE Access, 2019)

Toward Creating a Subsurface Camera. - Wenzhan Song 001; Fangyu Li; Maria Valero; Liang Zhao 024 (Sensors, 2019)

Privacy-Preserving Distributed Analytics in Fog-Enabled IoT Systems. - Liang Zhao 024 (Sensors, 2020)

An Architecture for Federated Learning Enabled Collaborative Intrusion Detection System. - Caitlin L. McOsker; Michael Steven Handlin; Lei Li 021; Hossain Shahriar; Liang Zhao 024 (AMCIS, 2021)

Framework for Collecting Data from specialized IoT devices - An application to enhance Healthcare Systems. - Md. Saiful Islam; Shahriar Sobhan; Maria Valero; Hossain Shahriar; Liang Zhao 024; Sheikh Iqbal Ahamed (ICDH, 2021)

Non-Invasive Monitoring of Human Hygiene using Vibration Sensor and Classifiers. - Shashank Trivedi; Maria Valero; Hossain Shahriar; Liang Zhao 024 (ICDH, 2021)

Communication Efficiency in Federated Learning: Achievements and Challenges. - Osama Shahid; Seyedamin Pouriyeh; Reza M. Parizi; Quan Z. Sheng; Gautam Srivastava 001; Liang Zhao 024 (CoRR, 2021)

Vibration sensing-based human and infrastructure safety/health monitoring: A survey. - Maria Valero; Fangyu Li; Liang Zhao 024; Chi Zhang; Jose Garrido; Zhu Han 001 (Digit. Signal Process., 2021)

Hybrid Decentralized Data Analytics in Edge-Computing-Empowered IoT Networks. - Liang Zhao 024; Fangyu Li; Maria Valero (IEEE Internet Things J., 2021)

Robust federated learning based on metrics learning and unsupervised clustering for malicious data detection. - Jiaming Li; Xinyue Zhang 001; Liang Zhao 024 (ACM Southeast Regional Conference, 2022)

Blockchain-based Medical Image Sharing and Automated Critical-results Notification: A Novel Framework. - Jiyoun Randolph; Md. Jobair Hossain Faruk; Bilash Saha; Hossain Shahriar; Maria Valero; Liang Zhao 024; Nazmus Sakib (COMPSAC, 2022)

Enabling Cyberanalytics using IoT Clusters and Containers. - Soin Abdoul Kassif Traore; Maria Valero; Hossain Shahriar; Liang Zhao 024; Sheikh Iqbal Ahamed; Ahyoung Lee (COMPSAC, 2022)

Preliminary Data Collection for Collaborative Emergency Department Crowd Management using Wearable Devices. - Victoire Metuge; Maria Valero; Liang Zhao 024; Valentina Nino; David Claudio (ICDH, 2022)

Comparative Study of Machine Learning Methods on Spectroscopy Images for Blood Glucose Estimation. - Tahsin Kazi; Kiran Ponakaladinne; Maria Valero; Liang Zhao 024; Hossain Shahriar; Katherine H. Ingram (PervasiveHealth, 2022)

Reprint of: Vibration sensing-based human and infrastructure safety/health monitoring: A survey. - Maria Valero; Fangyu Li; Liang Zhao 024; Chi Zhang; Jose Garrido; Zhu Han 001 (Digit. Signal Process., 2022)

Communication-Efficient Semihierarchical Federated Analytics in IoT Networks. - Liang Zhao 024; Maria Valero; Seyedamin Pouriyeh; Lei Li 021; Quan Z. Sheng (IEEE Internet Things J., 2022)

Evaluation of Query-Based Membership Inference Attack on the Medical Data. - Lakshmi Prasanna Pedarla; Xinyue Zhang 001; Liang Zhao 024; Hafiz Khan (ACM Southeast Regional Conference, 2023)

Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey. - Fatemeh Mosaiyebzadeh; Seyedamin Pouriyeh; Reza M. Parizi; Quan Z. Sheng; Meng Han; Liang Zhao 024; Giovanna Sannino; Daniel Macêdo Batista (CoRR, 2023)

An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices. - Nobel Dhar; Bobin Deng; Dan C. Lo; Xiaofeng Wu 002; Liang Zhao 024; Kun Suo (ACM Southeast Regional Conference, 2024)

Evaluation of Thermal Stress on IoT-based Federated Learning. - Yi Gu; Liang Zhao 024; Bobin Deng; Shaoen Wu (ACM Southeast Regional Conference, 2024)

Activation Sparsity Opportunities for Compressing General Large Language Models. - Nobel Dhar; Bobin Deng; Md. Romyull Islam; Kazi Fahim Ahmad Nasif; Liang Zhao 024; Kun Suo (IPCCC, 2024)

A Decentralized Communication-Efficient Federated Analytics Framework for Connected Vehicles. - Liang Zhao 024; Maria Valero; Seyedamin Pouriyeh; Fangyu Li; Lulu Guo; Zhu Han 001 (IEEE Trans. Veh. Technol., 2024)