15 papers
Age of Information in Non-Terrestrial Networks with Energy Harvesting
Fangming Zhao, Nikolaos Pappas, Shi Jin +1
We analyze the timeliness of status-update delivery in a low Earth orbit (LEO) satellite-assisted energy-harvesting Internet of Things network using the Age of Information (AoI) me…
Feature-Based Semantics-Aware Scheduling for Energy-Harvesting Federated Learning
Eunjeong Jeong, Giovanni Perin, Howard H. Yang +1
Federated Learning (FL) on resource-constrained edge devices faces a critical challenge: The computational energy required for training Deep Neural Networks (DNNs) often dominates…
Rethinking Federated Learning Over the Air: The Blessing of Scaling Up
Jiaqi Zhu, Bikramjit Das, Yong Xie +2
Federated learning facilitates collaborative model training across multiple clients while preserving data privacy. However, its performance is often constrained by limited communic…
Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning
Eunjeong Jeong, Nikolaos Pappas
Federated Learning (FL) has emerged as a promising framework for distributed learning, but its growing complexity has led to significant energy consumption, particularly from compu…
Analysis of Age of Information for A Discrete-Time hybrid Dual-Queue System
Zhengchuan Chen, Yi Qu, Nikolaos Pappas +3
Using multiple sensors to update the status process of interest is promising in improving the information freshness. The unordered arrival of status updates at the monitor end pose…
Age of Information in Random Access Networks with Energy Harvesting
Fangming Zhao, Nikolaos Pappas, Meng Zhang +1
We study the age of information (AoI) in a random access network consisting of multiple source-destination pairs, where each source node is empowered by energy harvesting capabilit…
Timeliness of Status Update System: The Effect of Parallel Transmission Using Heterogeneous Updating Devices
Zhengchuan Chen, Kang Lang, Nikolaos Pappas +4
Timely status updating is the premise of emerging interaction-based applications in the Internet of Things (IoT). Using redundant devices to update the status of interest is a prom…
Graph Attention Reinforcement Learning for Multicast Routing and Age-Optimal Scheduling
Yanning Zhang, Guocheng Liao, Shengbin Cao +3
Multicast routing is essential for real-time group applications, such as video streaming, virtual reality, and metaverse platforms, where the Age of Information (AoI) acts as a cru…
Adaptive Federated Learning Over the Air
Chenhao Wang, Zihan Chen, Nikolaos Pappas +3
We propose a federated version of adaptive gradient methods, particularly AdaGrad and Adam, within the framework of over-the-air model training. This approach capitalizes on the in…
Boosting Dynamic TDD in Small Cell Networks by the Multiplicative Weight Update Method
Jiaqi Zhu, Nikolaos Pappas, Howard H. Yang
We leverage the Multiplicative Weight Update (MWU) method to develop a decentralized algorithm that significantly improves the performance of dynamic time division duplexing (D-TDD…
Version age-based client scheduling policy for federated learning
Xinyi Hu, Nikolaos Pappas, Howard H. Yang
Federated Learning (FL) has emerged as a privacy-preserving machine learning paradigm facilitating collaborative training across multiple clients without sharing local data. Despit…
Value of Information and Timing-aware Scheduling for Federated Learning
Muhammad Azeem Khan, Howard H. Yang, Zihan Chen +2
Data possesses significant value as it fuels advancements in AI. However, protecting the privacy of the data generated by end-user devices has become crucial. Federated Learning (F…
Age-Threshold Slotted ALOHA for Optimizing Information Freshness in Mobile Networks
Fangming Zhao, Nikolaos Pappas, Chuan Ma +3
We optimize the Age of Information (AoI) in mobile networks using the age-threshold slotted ALOHA (TSA) protocol. The network comprises multiple source-destination pairs, where eac…
Optimal Status Updates for Minimizing Age of Correlated Information in IoT Networks with Energy Harvesting Sensors
Chao Xu, Xinyan Zhang, Howard H. Yang +4
Many real-time applications of the Internet of Things (IoT) need to deal with correlated information generated by multiple sensors. The design of efficient status update strategies…
Analysis of Age of Information in Non-terrestrial Networks
Yanwu Lu, Howard Yang, Nikolaos Pappas +3
Non-terrestrial networks (NTN), particularly low Earth orbit (LEO) satellite networks, have emerged as a promising solution to overcome the limitations of traditional terrestrial n…