7 papers
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles
Ferdous Pervej, Richeng Jin, Md Moin Uddin Chowdhury +3
Privacy-preserving distributed machine learning (ML) and aerial connected vehicle (ACV)-assisted edge computing have drawn significant attention lately. Since the onboard sensors o…
Online-Score-Aided Federated Learning for Resource-Constrained Wireless Clients with Continual Data Arrival
Ferdous Pervej, Minseok Choi, Andreas F. Molisch
Heterogeneous system configurations of distributed clients connected to the central server (CS) via a time-varying wireless network pose significant challenges for popular distribu…
Revenue Optimization in Wireless Video Caching Networks: A Privacy-Preserving Two-Stage Solution
Yijing Zhang, Md-Ferdous Pervej, Andreas F. Molisch
Video caching can significantly improve delivery efficiency and enhance quality of video streaming, which constitutes the majority of wireless communication traffic. Due to limited…
Revenue Optimization in Video Caching Networks with Privacy-Preserving Demand Predictions
Yijing Zhang, Ferdous Pervej, Andreas F. Molisch
Performance of video streaming, which accounts for most of the traffic in wireless communication, can be significantly improved by caching popular videos at the wireless edge. Dete…
Double Directional Wireless Channel Generation: A Statistics-Informed Generative Approach
Md-Ferdous Pervej, Patel Pratik, Koushik Manjunatha +2
Channel models that represent various operating conditions a communication system might experience are important for design and standardization of any communication system. While s…
Personalized Hierarchical Split Federated Learning in Wireless Networks
Md-Ferdous Pervej, Andreas F. Molisch
Extreme resource constraints make large-scale machine learning (ML) with distributed clients challenging in wireless networks. On the one hand, large-scale ML requires massive info…