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2020 – today
- 2024
[j2]Ahmad Ayad
, Yu-Hsuan Tai, Guido Dartmann, Anke Schmeink:
Smart Summary: A Distributed Medical Recommender System for Patients in the ICU Using Neural Networks. IEEE Access 12: 83719-83732 (2024)- [c8]Miriam Chlumsky-Harttmann, Ahmad Ayad, Anke Schmeink:
HypoTreat: Reducing Hypoglycemia in Artificial Pancreas Simulation. EAIS 2024: 1-7 - [i1]Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Anke Schmeink:
Parallel Split Learning with Global Sampling. CoRR abs/2407.15738 (2024) - 2023
- [j1]Ahmad Ayad, Mahdi Barhoush, Marian Frei, Benedikt Völker, Anke Schmeink:
An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning. IEEE J. Biomed. Health Informatics 27(9): 4261-4272 (2023) - [c7]Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Anke Schmeink:
Detecting Data Poisoning in Split Learning Using Intraclass- Distance Inflated Loss. GLOBECOM (Workshops) 2023: 2091-2096 - [c6]Ahmad Ayad, Mahdi Barhoush, Benedikt Völker, Steffen Leonhardt, Anke Schmeink:
Energy Efficient ECG Classifier Using Smart Lead Switching and Apache TVM. ICMLA 2023: 188-193 - [c5]Mahdi Barhoush, Ahmad Ayad, Anke Schmeink:
Semi-supervised Learning in Distributed Split Learning Architecture and IoT Applications. ISADS 2023: 1-6 - 2022
- [c4]Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Bastian Leibe, Anke Schmeink:
Radiopaths: Deep Multimodal Analysis on Chest Radiographs. IEEE Big Data 2022: 3613-3621 - [c3]Ahmad Ayad, Marian Frei, Anke Schmeink:
Efficient and Private ECG Classification on the Edge Using a Modified Split Learning Mechanism. ICHI 2022: 1-6 - 2021
- [c2]Ahmad Ayad, Melvin Renner, Anke Schmeink:
Improving the Communication and Computation Efficiency of Split Learning for IoT Applications. GLOBECOM 2021: 1-6
2010 – 2019
- 2019
- [c1]Ahmad Ayad, Alireza Zamani, Anke Schmeink, Guido Dartmann:
Design and Implementation of a Hybrid Anomaly Detection System for IoT. IoTSMS 2019: 87-92
Coauthor Index
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