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- 2025
-
Mark
IPFL : Interpretable Federated Learning for Personalized Healthcare
- Contribution to journal › Article
- 2024
-
Mark
Towards Federated Learning with on-device Training and Communication in 8-bit Floating Point
Wang, Bokun ; Berg, Axel LU
; Acar, Durmus Alp Emre
and Zhou, Chuteng
(2024)
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics
- Contribution to conference › Paper, not in proceeding
-
Mark
Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems
Baghersalimi, Saleh ; Teijeiro, Tomas ; Aminifar, Amir LU
and Atienza, David
(2024)
In IEEE Transactions on Mobile Computing
23(5).
p.6392-6407
- Contribution to journal › Article
-
Mark
Privacy-Preserving Federated Interpretability
Abtahi Fahliani, Azra LU ; Aminifar, Amin and Aminifar, Amir LU
(2024)
IEEE International Conference on Big Data, BigData 2024
p.7592-7601
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
-
Mark
A federated approach to identify women with early-stage cervical cancer at low risk of lymph node metastases
- Contribution to journal › Article