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- research-articleJune 2023
Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning
- Abdullatif Mohammed Albaseer,
- Mohamed Abdallah,
- Ala Al-Fuqaha,
- Abegaz Mohammed Seid,
- Aiman Erbad,
- Octavia A. Dobre
IEEE Transactions on Network and Service Management (ITNSM), Volume 20, Issue 2Pages 1502–1516https://doi.org/10.1109/TNSM.2023.3270168Clustered federated Multitask learning is introduced as an efficient technique when data is unbalanced and distributed amongst clients in a non-independent and identically distributed manner. While a similarity metric can provide client groups with ...
- research-articleApril 2023
Actor-Aware Self-Supervised Learning for Semi-Supervised Video Representation Learning
- Maregu Assefa,
- Wei Jiang,
- Kumie Gedamu Alemu,
- Getinet Yilma,
- Deepak Adhikari,
- Melese Ayalew,
- Abegaz Mohammed Seid,
- Aiman Erbad
IEEE Transactions on Circuits and Systems for Video Technology (IEEETCSVT), Volume 33, Issue 11Pages 6679–6692https://doi.org/10.1109/TCSVT.2023.3267178Self-supervised contrastive learning has shown a significant improvement in performance for action recognition tasks by discovering useful signals from unlabeled videos. Nevertheless, the unique features of existing video benchmark datasets have led the ...