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Mohamed Elmahallawy
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 18
Top Topics
Models Built
Meta Cognitive
Event Related Potentials
E Learning
Top Venues
CoRR
IEEE J. Sel. Areas Commun.
ICC
MDM
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Publications
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Mohamed Elmahallawy
,
Tie Luo
,
Khaled Ramadan
Communication-Efficient Federated Learning for LEO Constellations Integrated With HAPs Using Hybrid NOMA-OFDM.
IEEE J. Sel. Areas Commun.
42 (5) (2024)
Mohamed Elmahallawy
,
Tie Luo
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning.
CoRR
(2024)
Md Sazedur Rahman
,
Mohamed Elmahallawy
,
Sanjay Madria
,
Samuel Frimpong
CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks.
CoRR
(2024)
Mohamed Elmahallawy
,
Tie Luo
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning.
PerCom
(2024)
Mohamed Elmahallawy
,
Tie Luo
,
Khaled Ramadan
Communication-Efficient Federated Learning for LEO Constellations Integrated with HAPs Using Hybrid NOMA-OFDM.
CoRR
(2024)
Yasmine Mustafa
,
Mohamed Elmahallawy
,
Tie Luo
,
Seif Eldawlatly
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition.
CoRR
(2023)
Mohamed Elmahallawy
,
Tie Luo
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling.
ICC
(2023)
Mohamed Elmahallawy
,
Tie Luo
,
Mohamed I. Ibrahem
Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation.
CoRR
(2023)
Mohamed Elmahallawy
,
Tie Luo
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling.
CoRR
(2023)
Yasmine Mustafa
,
Mohamed Elmahallawy
,
Tie Luo
,
Seif Eldawlatly
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition.
MetroXRAINE
(2023)
Mohamed Elmahallawy
,
Tie Luo
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes.
MDM
(2023)
Mohamed Elmahallawy
,
Tie Luo
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes.
CoRR
(2023)
Mohamed Elmahallawy
,
Tie Luo
,
Mohamed I. Ibrahem
Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation.
GLOBECOM
(2023)
Mohamed Elmahallawy
,
Tony Luo
Federated learning for LEO constellations via inter-HAP links.
CoRR
(2022)
Mohamed Elmahallawy
,
Tarek Elfouly
,
Ali Alouani
,
Ahmed M. Massoud
A Comprehensive Review of Lithium-Ion Batteries Modeling, and State of Health and Remaining Useful Lifetime Prediction.
IEEE Access
10 (2022)
Mohamed Elmahallawy
,
Tie Luo
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms.
Big Data
(2022)
Mohamed Elmahallawy
,
Tie Luo
FedHAP: Fast Federated Learning for LEO Constellations using Collaborative HAPs.
WCSP
(2022)
Mohamed Elmahallawy
,
Tie Luo
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms.
CoRR
(2022)