Feras M. Awaysheh

University of Maryland Extension — United States

Computer Science · Physical Sciences

16h-index1.1kcitations58works5.32yr avg
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Research Topics

Privacy-Preserving Technologies in Data(14), Cloud Computing and Resource Management(10), IoT and Edge/Fog Computing(10), Blockchain Technology Applications and Security(8), Cryptography and Data Security(6)

Publications58 total

BEST: a unified business process enactment via streams and tables for service computing
Process Science·2025Open Access
FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning
arXiv (Cornell University)·2025Open Access
Edge AI in Highly Volatile Environments: Is Fairness Worth the Accuracy Trade-off?
arXiv (Cornell University)·2025Open Access
Next Generation Cloud-native In-Memory Stores: From Redis to Valkey and Beyond
arXiv (Cornell University)·2025Open Access
FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning
2025· 1 cited
Edge AI in Highly Volatile Environments: Is Fairness Worth the Accuracy Trade-Off?
2025
FEDERATED LARGE LANGUAGE MODELS IN HEALTHCARE
2025Open Access
Quantum Computing as a Service -- a Software Engineering Perspective
arXiv (Cornell University)·2025Open Access
A Personalized and Explainable Federated Learning Approach for Recommendation Systems
2025Open Access
BigOPERA: An OPportunistic and Elastic Resource Allocation for big data frameworks
Cluster Computing·2025· 1 citedOpen Access
Towards a Sustainable Workflow Scheduling Framework in Edge-Cloud Infrastructures
2025Open Access
SecureFedPROM: A Zero-Trust Federated Learning Approach With Multi-Criteria Client Selection
IEEE Journal on Selected Areas in Communications·2025· 15 citedOpen Access
An Optimized Multi-Objective Task Scheduling Approach for IoT Systems in the Edge-Cloud Continuum
2025Open Access
Wave: A Dynamic Physical-Based Metaheuristic Optimizer
2025Open Access
BEST: A Unified Business Process Enactment via Streams and Tables for Service Computing
arXiv (Cornell University)·2025Open Access
Quantum Computing as a Service – a Software Engineering Perspective
SSRN Electronic Journal·2025Open Access
Bayesian Federated Learning with Stochastic Variational Inference
2024· 4 citedOpen Access
Federated Learning Drift Detection: An Empirical Study on the Impact of Concept and Data Drift
2024· 14 citedOpen Access
Data Skew in Federated Learning: An Experimental Evaluation on Aggregation Algorithms
2024· 14 citedOpen Access
LLMRAG: An Optimized Digital Support Service using LLM and Retrieval-Augmented Generation
2024· 3 citedOpen Access
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Frequent Co-authors

Sadi Alawadi(26), José C. Cabaleiro(9), Tomás F. Pena(9), Mamoun Alazab(8), Hussam N. Fakhouri(7), Victor R. Kebande(7), Fahed Alkhabbas(6), Sawsan Alzubi(5), Mohammad N. Aladwan(4), Maanak Gupta(4), Mohammad Dahman Alshehri(4), Faten Hamad(4), Richard A. Ikuesan(3), Riccardo Tommasini(3), Mariam Ibrahim(2), Ahmad Alsheikh(2), Mohannad Alkhalaileh(2), Mohamed Ragab(2), Mehreen Tahir(2), Khalid Alkharabsheh(2)