301 citations · 1.5k across the 70 of their papers we have counts for
11 papers · 1 filter
Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges
Milin Zhang, Mohammad Abdi, Venkat R. Dasari +1
Semantic Edge Computing (SEC) and Semantic Communications (SemComs) have been proposed as viable approaches to achieve real-time edge-enabled intelligence in sixth-generation (6G)…
DARDA: Domain-Aware Real-Time Dynamic Neural Network Adaptation
Shahriar Rifat, Jonathan Ashdown, Francesco Restuccia
Test Time Adaptation (TTA) has emerged as a practical solution to mitigate the performance degradation of Deep Neural Networks (DNNs) in the presence of corruption/ noise affecting…
Heterogeneous Sheaf Neural Networks
Luke Braithwaite, Alessio Borgi, Gabriele Onorato +4
Heterogeneous graphs, whose nodes and edges can belong to different types and feature spaces, arise in many real-world domains, including biology, recommendation, social networks,…
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed, Milin Zhang, Shahriar Rifat +3
In order to deploy deep neural networks (DNNs) in high-stakes scenarios, it is imperative that DNNs provide inference robust to external perturbations - both intentional and uninte…
CGRA4ML: A Hardware/Software Framework to Implement Neural Networks for Scientific Edge Computing
G Abarajithan, Zhenghua Ma, Ravidu Munasinghe +2
The scientific community increasingly relies on machine learning (ML) for near-sensor processing, leveraging its strengths in tasks such as pattern recognition, anomaly detection,…
Toward Wireless System and Circuit Co-Design for the Internet of Self-Adaptive Things
Diptashree Das, Mohammad Abdi, Minghan Liu +2
The deployment of a growing number of devices in Internet of Things (IoT) networks implies that uninterrupted and seamless adaptation of wireless communication parameters (e.g., ca…
Resilience of Entropy Model in Distributed Neural Networks
Milin Zhang, Mohammad Abdi, Shahriar Rifat +1
Distributed deep neural networks (DNNs) have emerged as a key technique to reduce communication overhead without sacrificing performance in edge computing systems. Recently, entrop…
Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching
Daniel Uvaydov, Milin Zhang, Clifton Paul Robinson +3
Spectrum has become an extremely scarce and congested resource. As a consequence, spectrum sensing enables the coexistence of different wireless technologies in shared spectrum ban…
SAWEC: Sensing-Assisted Wireless Edge Computing
Khandaker Foysal Haque, Francesca Meneghello, Md. Ebtidaul Karim +1
Emerging mobile virtual reality (VR) systems will require to continuously perform complex computer vision tasks on ultra-high-resolution video frames through the execution of deep…
Sensing in Bi-Static ISAC Systems with Clock Asynchronism: A Signal Processing Perspective
Kai Wu, Jacopo Pegoraro, Francesca Meneghello +9
Integrated Sensing and Communication (ISAC) has been identified as a pillar usage scenario for the impending 6G era. Bi-static sensing, a major type of sensing in ISAC, is promisin…
TOP: Towards Open & Predictable Heterogeneous SoCs
Luca Valente, Francesco Restuccia, Davide Rossi +2
Ensuring predictability in modern real-time Systems-on-Chip (SoCs) is an increasingly critical concern for many application domains such as automotive, robotics, and industrial aut…