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Umeå universitet
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Huvudmenyn dold.
Personalbild Obaidullah Zaland

Obaidullah Zaland

0009-0009-8763-4391

Kontakt

E-post
obaidullah.zaland@umu.se

Verksam som

Anknytning
Doktorand vid Institutionen för datavetenskap
Plats
Besöksadress, se karta
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.
MTF-Grasp: a multi-tier federated learning approach for robotic grasping
2025 IEEE International conference on systems, nan, and cybernetics (SMC), IEEE 2025 : 3634-3640
Zaland, Obaidullah; Elmroth, Erik; Bhuyan, Monowar
One-shot federated learning with classifier-free diffusion models
Proceedings of the 2025 IEEE International Conference on Multimedia and Expo (ICME), IEEE 2025 : 1-6
Zaland, Obaidullah; Jin, Shutong; Pokorny, Florian T.; et al.
Federated learning for large-scale cloud robotic manipulation: opportunities and challenges
Proceedings of 2025 International Conferenceon Machine Learning and Cybernetics, Institute of Electrical and Electronics Engineers (IEEE) 2025 : 254-261
Zaland, Obaidullah; Nguyen, Chanh Le Tan; Pokorny, Florian T.; et al.
Mitigating data heterogeneity with multi-tier federated GAN
Neural Information Processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part IX, Singapore: Springer 2025 : 225-239
Zaland, Obaidullah; Onur, Yakup; Bhuyan, Monowar
Visa publikationer i DiVA