Communication Efficient Decentralized Learning Over Bipartite Graphs
In this paper, we propose a communication-efficiently decentralized machine learning framework that solves a consensus optimization problem defined over a network of […]
Low-Voltage Energy Efficient Neural Inference by Leveraging Fault Detection Techniques
Operating at reduced voltages offers substantial energy efficiency improvement but at the expense of increasing the probability of computational errors due to […]
Buffer Space Management in Intermittently Connected Internet of Things
The efficient buffer space management in intermittently connected Internet of Things (IC-IoT) is of great importance for data delivery performance guarantee in […]
A Robust Bimodal Index Reflecting Relative Dynamics of EEG and HRV With Application in Monitoring Depth of Anesthesia
Supplemental information captured from HRV can provide deeper insight into nervous system function and consequently improve evaluation of brain function. Therefore, it […]
Minimizing Average On-Demand AoI in an IoT Network with Energy Harvesting Sensors
Delivering timely status information of a random process has become increasingly important for time-sensitive applications, e.g., vehicle tracking and environment monitoring. We […]
Enhanced Signal Detection for Massive SIMO Communications with 1-Bit ADCs
This paper considers a massive single-input single-output (SIMO) system with 1-bit analog-to-digital converters (ADCs) at the base station (BS). In this context, […]
Uplink Data Detection Analysis of 1-Bit Quantized Massive MIMO
This paper presents an analytical framework for the data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital converters (ADCs). Considering […]
Channel Estimation and Data Detection Analysis of Massive MIMO with 1-Bit ADCs
We present an analytical framework for the channel estimation and the data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital […]
Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors
Social distancing is a critical tool for mitigating disease transmission, particularly in crowded indoor spaces. In this paper, we contribute by assessing […]
Edge Intelligence
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis proximity to where data […]