4 papers
Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts
Wenqi Fan, Ning Wei, Ahmad Bazzi +6
The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous h…
Improved Convergence for Decentralized Stochastic Optimization with Biased Gradients
Qing Xu, Yiwei Liao, Wenqi Fan +2
Decentralized stochastic optimization has emerged as a fundamental paradigm for large-scale machine learning. However, practical implementations often rely on biased gradient estim…
Stochastic Momentum Tracking Push-Pull for Decentralized Optimization over Directed Graphs
Wenqi Fan, Yiwei Liao, Qing Xu +2
Decentralized optimization over directed networks is frequently challenged by asymmetric communication and the inherent high variance of stochastic gradients, which collectively ca…
Heterogeneous Mixture-of-Experts for Energy-Efficient Multimodal ISAC in Highly Mobile Networks
Wenqi Fan, Ning Wei, Rongyan Xi +5
The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous h…