Feras M. Awaysheh

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Verksam som

Universitetslektor vid Institutionen för datavetenskap

MIT-huset, Umeå universitet, MIT.B.225 Umeå universitet, 901 87 Umeå

A personalized and explainable federated learning approach for recommendation systems

2025 IEEE International Conference on Edge Computing and Communications: IEEE EDGE 2025 : proceedings, Institute of Electrical and Electronics Engineers Inc. 2025 : 167-176

Alawadi, Sadi; Awaysheh, Feras; Athukorala, Thambugala Athukoralalage Jayani Sandunka; et al.

Towards a sustainable workflow scheduling framework in edge-cloud infrastructures

2025 10th International Conference on Fog and Mobile Edge Computing, FMEC 2025, Institute of Electrical and Electronics Engineers (IEEE) 2025 : 26-32

Alkhabbas, Fahed; Alawadi, Sadi; Fakhouri, Hussam N.; et al.

BigOPERA: an OPportunistic and Elastic Resource Allocation for big data frameworks

Cluster Computing, Springer Nature 2025, Vol. 28, (6)

Caderno, Pablo V.; Awaysheh, Feras; Cabaleiro, José C.; et al.

Message from the EDGE 2025 Chairs

2025 IEEE International Conference on Edge Computing and Communications (EDGE): IEEE EDGE 2025 : proceedings, Institute of Electrical and Electronics Engineers (IEEE) 2025 : xii-xiii

Ding, Aaron; Rana, Omer; Awaysheh, Feras; et al.

Wave: a dynamic physical-based metaheuristic optimizer

2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA): Proceedings, IEEE 2025 : 1-8

Fakhouri, Hussam; Alawadi, Sadi; Alkhabbas, Fahed; et al.

An optimized multi-objective task scheduling approach for IoT systems in the edge-cloud continuum

2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA), IEEE 2025 : 1-8

Fakhouri, Hussam; Alkhabbas, Fahed; Alawadi, Sadi; et al.

FedSparQ: adaptive sparse quantization with error feedback for robust & efficient federated learning

2025 3rd International Conference on Federated Learning Technologies and Applications, FLTA 2025, Institute of Electrical and Electronics Engineers (IEEE) 2025 : 364-372

Medjadji, Chaimaa; Alawadi, Sadi; Awaysheh, Feras; et al.

SecureFedPROM: a zero-trust federated learning approach with multi-criteria client selection

IEEE Journal on Selected Areas in Communications, IEEE 2025, Vol. 43, (6) : 2025-2041

Tahir, Mehreen; Mawla, Tanjila; Awaysheh, Feras; et al.

Edge AI in highly volatile environments: is fairness worth the accuracy trade-off?

2025 3rd International Conference on Federated Learning Technologies and Applications, FLTA 2025, Institute of Electrical and Electronics Engineers (IEEE) 2025 : 356-363

Zaland, Obaidullah; Awaysheh, Feras; Al Zubi, Sawsan; et al.

Visa publikationer i DiVA

Forskargrupper

Forskningsledare

Autonomous Distributed Systems Lab