299 citations
- Qatar FoundationQA20 papers
- Qatar UniversityQA10 papers
- Hong Kong University of Science and TechnologyHK5 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et TechnologiesFR3 papers
- Mohamed bin Zayed University of Artificial IntelligenceAE3 papers
- Nanyang Technological UniversitySG3 papers
- New Jersey Institute of TechnologyUS3 papers
- Purdue University West LafayetteUS3 papers
- Texas A&M University at QatarQA3 papers
- The University of TokyoJP3 papers
- Tsinghua UniversityCN3 papers
11 papers · 1 filter
Nonlinear effects in locally-resonant nanostrip phononic metasurface at GHz frequencies
Feng Gao, Amine Bermak, Sarah Benchabane +2
In this paper, we report on the observation of nonlinear effects in a nanostrip phononic metasurface (NPM) that enable the tuning of resonance frequencies at 1.42 GHz. The NPM reso…
Federated Mimic Learning for Privacy Preserving Intrusion Detection
Noor Ali Al-Athba Al-Marri, Bekir Sait Ciftler, Mohamed Abdallah
Internet of things (IoT) devices are prone to attacks due to the limitation of their privacy and security components. These attacks vary from exploiting backdoors to disrupting the…
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data
Naram Mhaisen, Alaa Awad, Amr Mohamed +2
Distributed learning algorithms aim to leverage distributed and diverse data stored at users' devices to learn a global phenomena by performing training amongst participating devic…
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
Nan Tang, Ju Fan, Fangyi Li +5
Can AI help automate human-easy but computer-hard data preparation tasks that burden data scientists, practitioners, and crowd workers? We answer this question by presenting RPT, a…
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
Ihab Mohammed, Shadha Tabatabai, Ala Al-Fuqaha +4
Machine Learning (ML), and Deep Learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques however suffer from privacy and securit…
GNSS Spoofing Detection via Opportunistic IRIDIUM Signals
Gabriele Oligeri, Savio Sciancalepore, Roberto Di Pietro
In this paper, we study the privately-own IRIDIUM satellite constellation, to provide a location service that is independent of the GNSS. In particular, we apply our findings to pr…