Privacy-preserving Federated Learning
Amin Aminifar received his Ph.D. degree in computer science from the Western Norway University of Applied Sciences, Bergen, Norway, in 2022. His current research interests include privacy-preserving federated learning and distributed machine learning with applications in the healthcare domain as well as machine learning in resource-constrained devices in the healthcare domain.
Research Interests
Publications
- Lightweight Inference for Forward-Forward AlgorithmCoRR, abs/2404.05241, 2024
@article{DBLP:journals/corr/abs-2404-05241, author = {Aminifar, Amin and Huang, Baichuan and Abtahi, Azra and Aminifar, Amir}, title = {Lightweight Inference for Forward-Forward Algorithm}, journal = {CoRR}, volume = {abs/2404.05241}, year = {2024}, url = {https://doi.org/10.48550/arXiv.2404.05241} doi = {10.48550/ARXIV.2404.05241}, eprinttype = {arXiv}, eprint = {2404.05241}, }
- Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health DataIEEE Access, 10, 6010–6027, 2022
@article{DBLP:journals/access/AminifarSRPL22, author = {Aminifar, Amin and Shokri, Matin and Rabbi, Fazle and Pun, Violet Ka I and Lamo, Yngve}, title = {Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data}, journal = {{IEEE} Access}, volume = {10}, pages = {6010--6027}, year = {2022}, url = {https://doi.org/10.1109/ACCESS.2022.3141709} doi = {10.1109/ACCESS.2022.3141709}, }
- Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021, Washington, DC, USA, June 6-9, 2021, 1–4, IEEE, 2021
@inproceedings{DBLP:conf/aicas/ForooghifarATAJ21, author = {Forooghifar, Farnaz and Aminifar, Amin and Teijeiro, Tom{\'{a}}s and Aminifar, Amir and Jeppesen, Jesper and Beniczky, S{\'{a}}ndor and Atienza, David}, title = {Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices}, booktitle = {3rd {IEEE} International Conference on Artificial Intelligence Circuits and Systems, {AICAS} 2021, Washington, DC, USA, June 6-9, 2021}, pages = {1--4}, publisher = {{IEEE}}, year = {2021}, url = {https://doi.org/10.1109/AICAS51828.2021.9458555} doi = {10.1109/AICAS51828.2021.9458555}, }
- Diversity-Aware Anonymization for Structured Health Data43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021, 2148–2154, IEEE, 2021
@inproceedings{DBLP:conf/embc/AminifarRPL21, author = {Aminifar, Amin and Rabbi, Fazle and Pun, Violet Ka I and Lamo, Yngve}, title = {Diversity-Aware Anonymization for Structured Health Data}, booktitle = {43rd Annual International Conference of the {IEEE} Engineering in Medicine {\&} Biology Society, {EMBC} 2021, Mexico, November 1-5, 2021}, pages = {2148--2154}, publisher = {{IEEE}}, year = {2021}, url = {https://doi.org/10.1109/EMBC46164.2021.9629918} doi = {10.1109/EMBC46164.2021.9629918}, }
- Monitoring Motor Activity Data for Detecting Patients’ Depression Using Data Augmentation and Privacy-Preserving Distributed Learning43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021, 2163–2169, IEEE, 2021
@inproceedings{DBLP:conf/embc/AminifarRPL21a, author = {Aminifar, Amin and Rabbi, Fazle and Pun, Violet Ka I and Lamo, Yngve}, title = {Monitoring Motor Activity Data for Detecting Patients' Depression Using Data Augmentation and Privacy-Preserving Distributed Learning}, booktitle = {43rd Annual International Conference of the {IEEE} Engineering in Medicine {\&} Biology Society, {EMBC} 2021, Mexico, November 1-5, 2021}, pages = {2163--2169}, publisher = {{IEEE}}, year = {2021}, url = {https://doi.org/10.1109/EMBC46164.2021.9630592} doi = {10.1109/EMBC46164.2021.9630592}, }
- Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding PartiesIEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, 2655–2659, IEEE, 2021
@inproceedings{DBLP:conf/icassp/Aminifar0L21, author = {Aminifar, Amin and Rabbi, Fazle and Lamo, Yngve}, title = {Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding Parties}, booktitle = {{IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2021, Toronto, ON, Canada, June 6-11, 2021}, pages = {2655--2659}, publisher = {{IEEE}}, year = {2021}, url = {https://doi.org/10.1109/ICASSP39728.2021.9413632} doi = {10.1109/ICASSP39728.2021.9413632}, }
- Privacy preserving distributed extremely randomized treesSAC ’21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021, 1102–1105, ACM, 2021
@inproceedings{DBLP:conf/sac/Aminifar0PL21, author = {Aminifar, Amin and Rabbi, Fazle and Pun, Ka I and Lamo, Yngve}, editor = {Hung, Chih{-}Cheng and Hong, Jiman and Bechini, Alessio and Song, Eunjee}, title = {Privacy preserving distributed extremely randomized trees}, booktitle = {{SAC} '21: The 36th {ACM/SIGAPP} Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021}, pages = {1102--1105}, publisher = {{ACM}}, year = {2021}, url = {https://doi.org/10.1145/3412841.3442110} doi = {10.1145/3412841.3442110}, }
- Adaptive Fuzzy Watkins: A New Adaptive Approach for Eligibility Traces in Reinforcement LearningInt. J. Fuzzy Syst., 21(5), 1443–1454, 2019
@article{DBLP:journals/ijfs/ShokriKA19, author = {Shokri, Matin and Khasteh, Seyed Hossein and Aminifar, Amin}, title = {Adaptive Fuzzy Watkins: {A} New Adaptive Approach for Eligibility Traces in Reinforcement Learning}, journal = {Int. J. Fuzzy Syst.}, volume = {21}, number = {5}, pages = {1443--1454}, year = {2019}, url = {https://doi.org/10.1007/s40815-019-00633-x} doi = {10.1007/S40815-019-00633-X}, }
- Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable SystemsIEEE Trans. Biomed. Circuits Syst., 12(5), 982–992, 2018
@article{DBLP:journals/tbcas/SopicAAA18, author = {Sopic, Dionisije and Aminifar, Amin and Aminifar, Amir and Atienza, David}, title = {Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems}, journal = {{IEEE} Trans. Biomed. Circuits Syst.}, volume = {12}, number = {5}, pages = {982--992}, year = {2018}, url = {https://doi.org/10.1109/TBCAS.2018.2848477} doi = {10.1109/TBCAS.2018.2848477}, }
- Real-time classification technique for early detection and prevention of myocardial infarction on wearable devicesIEEE Biomedical Circuits and Systems Conference, BioCAS 2017, Torino, Italy, October 19-21, 2017, 1–4, IEEE, 2017
@inproceedings{DBLP:conf/biocas/SopicAAA17, author = {Sopic, Dionisije and Aminifar, Amin and Aminifar, Amir and Atienza, David}, title = {Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices}, booktitle = {{IEEE} Biomedical Circuits and Systems Conference, BioCAS 2017, Torino, Italy, October 19-21, 2017}, pages = {1--4}, publisher = {{IEEE}}, year = {2017}, url = {https://doi.org/10.1109/BIOCAS.2017.8325140} doi = {10.1109/BIOCAS.2017.8325140}, }