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

  1. Amin Aminifar, Baichuan Huang, Azra Abtahi and Amir Aminifar
    Lightweight Inference for Forward-Forward Algorithm
    CoRR, 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},
    }
    
  2. Amin Aminifar, Matin Shokri, Fazle Rabbi, Violet Ka I Pun and Yngve Lamo
    Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data
    IEEE 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},
    }
    
  3. Farnaz Forooghifar, Amin Aminifar, Tomás Teijeiro, Amir Aminifar, Jesper Jeppesen, Sándor Beniczky and David Atienza
    Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices
    3rd 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},
    }
    
  4. Amin Aminifar, Fazle Rabbi, Violet Ka I Pun and Yngve Lamo
    Diversity-Aware Anonymization for Structured Health Data
    43rd 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},
    }
    
  5. Amin Aminifar, Fazle Rabbi, Violet Ka I Pun and Yngve Lamo
    Monitoring Motor Activity Data for Detecting Patients’ Depression Using Data Augmentation and Privacy-Preserving Distributed Learning
    43rd 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},
    }
    
  6. Amin Aminifar, Fazle Rabbi and Yngve Lamo
    Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding Parties
    IEEE 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},
    }
    
  7. Amin Aminifar, Fazle Rabbi, Ka I Pun and Yngve Lamo
    Privacy preserving distributed extremely randomized trees
    SAC ’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},
    }
    
  8. Matin Shokri, Seyed Hossein Khasteh and Amin Aminifar
    Adaptive Fuzzy Watkins: A New Adaptive Approach for Eligibility Traces in Reinforcement Learning
    Int. 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},
    }
    
  9. Dionisije Sopic, Amin Aminifar, Amir Aminifar and David Atienza
    Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems
    IEEE 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},
    }
    
  10. Dionisije Sopic, Amin Aminifar, Amir Aminifar and David Atienza
    Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices
    IEEE 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},
    }
    

Teaching

Consultation Hours