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Ahmed Mohamed Abdelmoniem Sayed

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Senior Lecturer (Associate Professor)

Queen Mary University of London

United Kingdom

Research Interests

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Recent Grants

Grant: Open

KUber: Knowledge Delivery System For Machine Learning At Scale

Open Date: 2024-03-31

Close Date: 2027-03-30

Grant: Close

Moderation in Decentralised Social Networks (DSNmod)

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Grant: Close

ML-based Congestion Control in SDN-based Data Center Network

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Grant: Close

Machine Learning Architecture for Task-based Information Transfer

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Efficient Optimizations for Water Pipes Monitoring Wireless Sensor Networks

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Articles (24)

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2023

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2021

Collaborators (10)

Shahid Mumtaz

Silesian University of Technology

POLAND

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Songyuan Li

Lecturer (Assistant Professor, T&R)

Aston University

UNITED KINGDOM

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Giridhar Reddy Bojja

UNITED STATES

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LOKNATH SAI AMBATI

Assistant Professor of Data Analytics and Artificial Intelligence

Oklahoma City University

UNITED STATES

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Mona Jaber

Lecturer

Queen Mary University of London

UNITED KINGDOM

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Qilei Li

Associate Professor

Queen Mary University of London

UNITED KINGDOM

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K Kotecha

Dean & Director

Symbiosis Institute of Technology, Symbiosis International (Deemed University)

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Chau Yuen

Nanyang Technological University (NTU)

SINGAPORE

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Anis Elgabli

Assistant Professor

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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Binayak Kar

Assistant Professor

National Taiwan University of Science and Technology

TAIWAN

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Ahmed Mohamed Abdelmoniem Sayed

Research Interests

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Recent Grants

Articles (24)

An Explainable Multimodal Framework for Cyclist Safety Perception in Mixed Traffic Environments

Federated Learning for Edge Computing Enabled Artificial Intelligence of Things: A comprehensive survey

Mitigating malicious model fusion in federated learning via confidence-aware defense

FedORA: Federated Objective-Resolved Adaptation for Non-Stationary Environments

Toward Collaborative Intelligence in Digital Twin-Based Federated Deep Reinforcement Learning: Applications, Case Studies, and Challenges

Choir-IDS: A federated learning framework for fidelity-calibrated explainable intrusion detection system for edge-IoT networks

SMoQKE-IDS: Sparse Mixture of Quantum Kolmogorov–Arnold Network Experts for FL-IDS in Edge-IIoT

Too much of a good thing: Algorithmic trading, price discovery, and the efficiency threshold in emerging equity markets

AdRo-FL: Secure and Informed Client Selection for Federated Learning Under Adversarial Aggregator

Breaking the Boundary Barrier: Robust Model Fingerprinting via Unlearnable Examples in Model-Parameter Space

Federated Unlearning Activated Backdoor Attacks

UDMP: Unified Delay-Driven Multipath Protocol for AI Clusters

AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction With Biased and Isolated Data

Discovering Latent Knowledge Prototypes for Heterogeneous Federated Learning

An integrated technique for securing large virtual machine migration

Prototype Surgery: Tailoring Neural Prototypes via Soft Labels for Efficient Machine Unlearning

Flashback: Understanding and Mitigating Forgetting in Federated Learning

Domain-Agnostic Causal-Aware Audio Transformer for Infant Cry Classification

Split Fine-Tuning of BERT-Based Music Models in the Edge-Cloud Continuum: An Empirical Analysis

From Expansion to Retraction: Long-tailed Machine Unlearning via Boundary Manipulation

A Comprehensive Empirical Study of Heterogeneity in Federated Learning

Enhancing TCP via Hysteresis Switching: Theoretical Analysis and Empirical Evaluation

Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary

T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks

Collaborators (10)

Shahid Mumtaz

Songyuan Li

Giridhar Reddy Bojja

LOKNATH SAI AMBATI

Mona Jaber

Qilei Li

K Kotecha

Chau Yuen

Anis Elgabli

Binayak Kar

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