Inference load-aware orchestration for hierarchical federated learning
Hierarchical federated learning (HFL) designs introduce intermediate aggregator nodes
between clients and the global federated learning server in order to reduce communication …
between clients and the global federated learning server in order to reduce communication …
Self-aware collaborative edge inference with embedded devices for IIoT
Edge inference and other compute-intensive industrial Internet of Things (IIoT) applications
suffer from a bad quality of experience due to the limited and heterogeneous computing and …
suffer from a bad quality of experience due to the limited and heterogeneous computing and …
Condar: Context-aware distributed dynamic object detection on radar data
I Harshbarger, C Zejda… - MILCOM 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Deep neural networks are an established class of algorithms widely used for real-time data
analysis in computer vision-based mobile applications. However, on one hand the …
analysis in computer vision-based mobile applications. However, on one hand the …
UAV-Assisted Split Computing System: Design and Performance Optimization
H Yeom, J Lee, H Ko - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In the conventional split computing approach based on the external computing node (eg,
cloud), Internet of Things (IoT) devices suffer from high network latency. In this article, we …
cloud), Internet of Things (IoT) devices suffer from high network latency. In this article, we …
Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication
This paper investigates the adversarial robustness of Deep Neural Networks (DNNs) using
Information Bottleneck (IB) objectives for task-oriented communication systems. We …
Information Bottleneck (IB) objectives for task-oriented communication systems. We …
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
Handling heterogeneity and unpredictability are two core problems in pervasive computing.
The challenge is to seamlessly integrate devices with varying computational resources in a …
The challenge is to seamlessly integrate devices with varying computational resources in a …