Computation Offloading and Security with Q-Learning. - Songyang Ge; Beiling Lu; Jie Gong; Xiang Chen 007 (IoTaaS, 2019)

A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization. - Jiawei Zhang 007; Songyang Ge; Tsung-Hui Chang; Zhi-Quan Luo (ICASSP, 2020)

Mobile Edge Computing Against Smart Attacks with Deep Reinforcement Learning in Cognitive MIMO IoT Systems. - Songyang Ge; Beiling Lu; Liang Xiao 003; Jie Gong; Xiang Chen 007; Yun Liu 016 (Mob. Networks Appl., 2020)

Decentralized Non-Convex Learning with Linearly Coupled Constraints. - Jiawei Zhang 007; Songyang Ge; Tsung-Hui Chang; Zhi-Quan Luo (CoRR, 2021)

Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem. - Jiawei Zhang 007; Songyang Ge; Tsung-Hui Chang; Zhi-Quan Luo (IEEE Trans. Signal Process., 2022)

Gradient Tracking with Multiple Local SGD for Decentralized Non-Convex Learning. - Songyang Ge; Tsung-Hui Chang (CDC, 2023)

Approaching Centralized Multi-cell Coordinated Beamforming with Limited Backhaul Signaling. - Tenghao Cai; Songyang Ge; Yanqing Xu; Tsung-Hui Chang (ICC, 2023)

Gradient and Variable Tracking with Multiple Local SGD for Decentralized Non-Convex Learning. - Songyang Ge; Tsung-Hui Chang (CoRR, 2023)

FedHD: Communication-efficient federated learning from hybrid data. - Haiqing Gao; Songyang Ge; Tsung-Hui Chang (J. Frankl. Inst., 2023)