Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action
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Dive into the research topics where Anis Elgabli is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Finished
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Energy-efficient distributed machine learning over wireless networks
Elgabli, A. (PI)
1/03/25 → 28/02/26
Project: Research
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Learn Efficiently Without a Server (LEWiS): RIS Aided Federated Learning
Elgabli, A. (PI) & Mesbah, W. (CoI)
1/01/25 → 31/12/25
Project: Research
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Reinforcement Learning and Exact Optimization for Traffic-Weighted Hybrid Truck-Drone Last-Mile Delivery With Deadlines
Shuaibu, A. S., Mahmoud, A. S., Sheltami, T. R. & Elgabli, A., 2026, (Accepted/In press) In: IEEE Transactions on Intelligent Transportation Systems.Research output: Contribution to journal › Article › peer-review
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A Novel Approach for Differential Privacy-Preserving Federated Learning
Elgabli, A. & Mesbah, W., 2025, In: IEEE Open Journal of the Communications Society. 6, p. 466-476 11 p.Research output: Contribution to journal › Article › peer-review
Open Access13 Scopus citations -
Learn Efficiently Without a Server: RIS-Aided Federated Learning
Elgabli, A., 2025, 2025 31st International Conference on Telecommunications, ICT 2025. Institute of Electrical and Electronics Engineers Inc., (2025 31st International Conference on Telecommunications, ICT 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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PP-QADMM: A Dual-Driven Perturbation and Quantized ADMM for Privacy Preserving and Communication-Efficient Federated Learning
Elgabli, A., 2025, In: IEEE Open Journal of the Communications Society. 6, p. 4156-4175 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Privacy-preserving and Communication-efficient Federated Learning Framework
Elgabli, A., 2025, In: Procedia Computer Science. 257, p. 1140-1147 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access