Secure Authentication of ADS-B Aircraft Communications using Retroactive Key Publication. - Pavana Prakash; Ahmed Abdelhadi; Miao Pan (CoRR, 2019)

Privacy Preserving Facial Recognition Against Model Inversion Attacks. - Pavana Prakash; Jiahao Ding; Hongning Li; Sai Mounika Errapotu; Qingqi Pei; Miao Pan (GLOBECOM, 2020)

To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. - Pavana Prakash; Jiahao Ding; Maoqiang Wu; Minglei Shu; Rong Yu 001; Miao Pan (GLOBECOM, 2021)

SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated Learning. - Pavana Prakash; Jiahao Ding; Minglei Shu; Junyi Wang 002; Wenjun Xu 001; Miao Pan (SEC, 2021)

Towards Energy Efficient Federated Learning over 5G+ Mobile Devices. - Dian Shi; Liang Li; Rui Chen 026; Pavana Prakash; Miao Pan; Yuguang Fang (CoRR, 2021)

IoT Device Friendly and Communication-Efficient Federated Learning via Joint Model Pruning and Quantization. - Pavana Prakash; Jiahao Ding; Rui Chen 026; Xiaoqi Qin; Minglei Shu; Qimei Cui; Yuanxiong Guo; Miao Pan (IEEE Internet Things J., 2022)

Toward Energy-Efficient Federated Learning Over 5G+ Mobile Devices. - Dian Shi; Liang Li; Rui Chen 026; Pavana Prakash; Miao Pan; Yuguang Fang (IEEE Wirel. Commun., 2022)

DAFL: Delay Efficient Federated Learning over Mobile Devices via Device-to-Device Transmissions. - Huai-an Su; Pavana Prakash; Rui Chen 026; Yanmin Gong 001; Rong Yu 001; Xin Fu; Miao Pan (GLOBECOM, 2023)

Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization. - Rui Chen 026; Qiyu Wan; Pavana Prakash; Lan Zhang 005; Xu Yuan 001; Yanmin Gong 001; Xin Fu; Miao Pan (ICCV, 2023)

Resting Your Car for Cash: Incentive Mechanism Based TNC Car Scheduling for Carbon Neutrality. - Maoqiang Wu; Guoliang Cheng; Pavana Prakash; Rong Yu 001; Xiaoming Xiong; Miao Pan (ITSC, 2023)

Eve Said Yes: AirBone Authentication for Head-Wearable Smart Voice Assistant. - Chenpei Huang; Hui Zhong; Jie Lian; Pavana Prakash; Dian Shi; Yuan Xu; Miao Pan (CoRR, 2023)

Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture. - Kaiwen Cao; Archit Gajjar; Liad Gerstman; Kun Wu 002; Sai Rahul Chalamalasetti; Aditya Dhakal; Giacomo Pedretti; Pavana Prakash; Wen-Mei Hwu; Deming Chen; Dejan S. Milojicic (SC Workshops, 2024)

DyTwin: Federated Adaptive Digital Twins for Data Centers - Visualization and Anomaly Detection. - Ebad Taheri; Pedro Bruel; Pavana Prakash; Gourav Rattihalli; Ninad Hogade; Aditya Dhakal; Rolando P. Hong Enriquez; Torsten Wilde; Leo Popokh; Dejan S. Milojicic; Cullen E. Bash (SC Workshops, 2024)

Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows. - Pedro Bruel; Sai Rahul Chalamalasetti; Aditya Dhakal; Eitan Frachtenberg; Ninad Hogade; Rolando Pablo Hong Enriquez; Alok Mishra 002; Dejan S. Milojicic; Pavana Prakash; Gourav Rattihalli (Computer, 2024)

DAFL: Device-to-Device Transmissions for Delay-Efficient Federated Learning Over Mobile Devices. - Huai-An Su; Pavana Prakash; Rui Chen 026; Yanmin Gong 001; Rong Yu 001; Xin Fu; Miao Pan (IEEE Internet Things J., 2025)

Eve Said Yes: AirBone Authentication for Head-Wearable Smart Voice Assistant. - Chenpei Huang; Hui Zhong; Pavana Prakash; Dian Shi; Xu Yuan 001; Miao Pan (IEEE Trans. Mob. Comput., 2025)