353 citations
- University of SurreyGB8 papers
- University of CambridgeGB6 papers
- Samsung (South Korea)KR5 papers
- Imperial College LondonGB4 papers
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- National Technical University of AthensGR3 papers
- Samsung (United States)US3 papers
- Aalto UniversityFI2 papers
- Centre Universitaire de MilaDZ2 papers
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- Huawei Technologies (Germany)DE2 papers
- IFlyTek (China)2 papers
54 papers
A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation
Ioannis Panopoulos, Maria Lamprini A. Bartsioka, Sokratis Nikolaidis +3
The proliferation of Internet of Things (IoT) devices has significantly expanded attack surfaces, making IoT ecosystems particularly susceptible to sophisticated cyber threats. To…
Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Approach
Juan Parra-Ullauri, Xueqing Zhou, Shadi Moazzeni +11
Artificial Intelligence (AI) is expected to play a key role in 6G networks including optimising system management, operation, and evolution. This requires systematic lifecycle mana…
MultiTASC++: A Continuously Adaptive Scheduler for Edge-Based Multi-Device Cascade Inference
Sokratis Nikolaidis, Stylianos I. Venieris, Iakovos S. Venieris
Cascade systems, consisting of a lightweight model processing all samples and a heavier, high-accuracy model refining challenging samples, have become a widely-adopted distributed…
Speech Boosting: Low-Latency Live Speech Enhancement for TWS Earbuds
Hanbin Bae, Pavel Andreev, Azat Saginbaev +4
This paper introduces a speech enhancement solution tailored for true wireless stereo (TWS) earbuds on-device usage. The solution was specifically designed to support conversations…
An Analysis of Linear Complexity Attention Substitutes with BEST-RQ
Ryan Whetten, Titouan Parcollet, Adel Moumen +2
Self-Supervised Learning (SSL) has proven to be effective in various domains, including speech processing. However, SSL is computationally and memory expensive. This is in part due…
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads
Ioannis Panopoulos, Stylianos I. Venieris, Iakovos S. Venieris
The relentless expansion of deep learning applications in recent years has prompted a pivotal shift toward on-device execution, driven by the urgent need for real-time processing,…