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Mohamed Elmahallawy — most-cited papers & profile · Federated Learning
← authors
·
overview
Mohamed Elmahallawy
8
papers ·
107
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling
2023 · 45 citations
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms
2022 · 39 citations
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes
2023 · 13 citations
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning
2024 · 9 citations
Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM
2024 · 1 citations
SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs
2026
FedHAP: Fast Federated Learning for LEO Constellations Using Collaborative HAPs
2022
Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation
2023
Top co-authors
Tie Luo
· 7
and Mohamed I. Ibrahem
· 1
Khaled Ramadan
· 1
Mohamed Shaaban
· 1
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