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. Azra Abtahi, Amin Aminifar and Amir Aminifar

   Privacy-Preserving Federated Interpretability

   IEEE International Conference on Big Data, BigData 2024, 2024

   | bib

   @inproceedings{fahliani2024privacy,
     title = {Privacy-Preserving Federated Interpretability},
     author = {Abtahi, Azra and Aminifar, Amin and Aminifar, Amir},
     booktitle = {IEEE International Conference on Big Data, BigData 2024},
     year = {2024},
     organization = {IEEE-Institute of Electrical and Electronics Engineers Inc.}
   }
   

2. Amin Aminifar, Matin Shokri and Amir Aminifar

   Privacy-preserving edge federated learning for intelligent mobile-health systems

   Future Gener. Comput. Syst., 161, 625–637, 2024

   | bib

   @article{DBLP:journals/fgcs/AminifarSA24,
     author = {Aminifar, Amin and Shokri, Matin and Aminifar, Amir},
     title = {Privacy-preserving edge federated learning for intelligent mobile-health
                       systems},
     journal = {Future Gener. Comput. Syst.},
     volume = {161},
     pages = {625--637},
     year = {2024},
     url = {https://doi.org/10.1016/j.future.2024.07.035}
     doi = {10.1016/J.FUTURE.2024.07.035}
   }
   

3. Amin Aminifar, Baichuan Huang, Azra Abtahi and Amir Aminifar

   LightFF: Lightweight Inference for Forward-Forward Algorithm

   Frontiers in Artificial Intelligence and Applications,ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), 392, 1728–1735, IOS Press, 2024

   | bib

   @inproceedings{DBLP:conf/ecai/AminifarHAA24,
     author = {Aminifar, Amin and Huang, Baichuan and Abtahi, Azra and Aminifar, Amir},
     editor = {Endriss, Ulle and Melo, Francisco S. and Bach, Kerstin and Diz, Alberto Jos{\'{e}} Bugar{\'{\i}}n and Alonso{-}Moral, Jose Maria and Barro, Sen{\'{e}}n and Heintz, Fredrik},
     title = {LightFF: Lightweight Inference for Forward-Forward Algorithm},
     booktitle = {{ECAI} 2024 - 27th European Conference on Artificial Intelligence,
                       19-24 October 2024, Santiago de Compostela, Spain - Including 13th
                       Conference on Prestigious Applications of Intelligent Systems {(PAIS}
                       2024)},
     series = {Frontiers in Artificial Intelligence and Applications},
     volume = {392},
     pages = {1728--1735},
     publisher = {{IOS} Press},
     year = {2024},
     url = {https://doi.org/10.3233/FAIA240682}
     doi = {10.3233/FAIA240682}
   }
   

4. Amin Aminifar, Soheil Khooyooz, Anice Jahanjoo, Salar Shakibhamedan and Nima TaheriNejad

   RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals

   IEEE International Symposium on Circuits and Systems, ISCAS 2024, Singapore, May 19-22, 2024, 1–5, IEEE, 2024

   | bib

   @inproceedings{DBLP:conf/iscas/AminifarKJST24,
     author = {Aminifar, Amin and Khooyooz, Soheil and Jahanjoo, Anice and Shakibhamedan, Salar and TaheriNejad, Nima},
     title = {RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in
                       Electrocardiogram Signals},
     booktitle = {{IEEE} International Symposium on Circuits and Systems, {ISCAS} 2024,
                       Singapore, May 19-22, 2024},
     pages = {1--5},
     publisher = {{IEEE}},
     year = {2024},
     url = {https://doi.org/10.1109/ISCAS58744.2024.10558670}
     doi = {10.1109/ISCAS58744.2024.10558670}
   }
   

5. Anice Jahanjoo, Nima TaheriNejad and Amin Aminifar

   High-Accuracy Stress Detection Using Wrist-Worn PPG Sensors

   IEEE International Symposium on Circuits and Systems, ISCAS 2024, Singapore, May 19-22, 2024, 1–5, IEEE, 2024

   | bib

   @inproceedings{DBLP:conf/iscas/JahanjooTA24,
     author = {Jahanjoo, Anice and TaheriNejad, Nima and Aminifar, Amin},
     title = {High-Accuracy Stress Detection Using Wrist-Worn {PPG} Sensors},
     booktitle = {{IEEE} International Symposium on Circuits and Systems, {ISCAS} 2024,
                       Singapore, May 19-22, 2024},
     pages = {1--5},
     publisher = {{IEEE}},
     year = {2024},
     url = {https://doi.org/10.1109/ISCAS58744.2024.10558012}
     doi = {10.1109/ISCAS58744.2024.10558012}
   }
   

6. Salar Shakibhamedan, Anice Jahanjoo, Amin Aminifar, Nima Amirafshar, Nima TaheriNejad and Axel Jantsch

   An Analytical Approach to Enhancing DNN Efficiency and Accuracy Using Approximate Multiplication

   2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ ICML 2024)

   | bib

   @inproceedings{shakibhamedan2024analytical,
     title = {An Analytical Approach to Enhancing DNN Efficiency and Accuracy Using Approximate Multiplication},
     author = {Shakibhamedan, Salar and Jahanjoo, Anice and Aminifar, Amin and Amirafshar, Nima and TaheriNejad, Nima and Jantsch, Axel},
     booktitle = {2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ ICML 2024)}
   }
   

7. Soheil Khooyooz, Anice Jahanjoo, Amin Aminifar and Nima TaheriNejad

   A Novel Machine-Learning-Based Noise Detection Method for Photoplethysmography Signals

   46th Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). IEEE, 2024

   | bib

   @inproceedings{khooyooz2024novel,
     title = {A Novel Machine-Learning-Based Noise Detection Method for Photoplethysmography Signals},
     author = {Khooyooz, Soheil and Jahanjoo, Anice and Aminifar, Amin and TaheriNejad, Nima},
     booktitle = {46th Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). IEEE},
     year = {2024}
   }
   

8. Salar Shakibhamedan, Amin Aminifar, Luke Vassallo and Nima TaheriNejad

   Harnessing Approximate Computing for Machine Learning

   IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2024, Knoxville, TN, USA, July 1-3, 2024, 585–591, IEEE, 2024

   | bib

   @inproceedings{DBLP:conf/isvlsi/ShakibhamedanAVT24,
     author = {Shakibhamedan, Salar and Aminifar, Amin and Vassallo, Luke and TaheriNejad, Nima},
     title = {Harnessing Approximate Computing for Machine Learning},
     booktitle = {{IEEE} Computer Society Annual Symposium on VLSI, {ISVLSI} 2024, Knoxville,
                       TN, USA, July 1-3, 2024},
     pages = {585--591},
     publisher = {{IEEE}},
     year = {2024},
     url = {https://doi.org/10.1109/ISVLSI61997.2024.00110}
     doi = {10.1109/ISVLSI61997.2024.00110}
   }
   

9. Amin Aminifar, Baichuan Huang, Azra Abtahi and Amir Aminifar

   Lightweight Inference for Forward-Forward Algorithm

   CoRR, abs/2404.05241, 2024

   | bib

   @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}
   }
   

10. Amin Aminifar, Matin Shokri and Amir Aminifar

    Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems

    CoRR, abs/2405.05611, 2024

    | bib

    @article{DBLP:journals/corr/abs-2405-05611,
      author = {Aminifar, Amin and Shokri, Matin and Aminifar, Amir},
      title = {Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health
                        Systems},
      journal = {CoRR},
      volume = {abs/2405.05611},
      year = {2024},
      url = {https://doi.org/10.48550/arXiv.2405.05611}
      doi = {10.48550/ARXIV.2405.05611},
      eprinttype = {arXiv},
      eprint = {2405.05611}
    }
    

11. Peter Traunmuller, Anice Jahanjoo, Soheil Khooyooz, Amin Aminifar and Nima TaheriNejad

    Wearable Healthcare Devices for Monitoring Stress and Attention Level in Workplace Environments

    CoRR, abs/2406.05813, 2024

    | bib

    @article{DBLP:journals/corr/abs-2406-05813,
      author = {Traunmuller, Peter and Jahanjoo, Anice and Khooyooz, Soheil and Aminifar, Amin and TaheriNejad, Nima},
      title = {Wearable Healthcare Devices for Monitoring Stress and Attention Level
                        in Workplace Environments},
      journal = {CoRR},
      volume = {abs/2406.05813},
      year = {2024},
      url = {https://doi.org/10.48550/arXiv.2406.05813}
      doi = {10.48550/ARXIV.2406.05813},
      eprinttype = {arXiv},
      eprint = {2406.05813}
    }
    

12. Salar Shakibhamedan, Amin Aminifar, Nima Taherinejad and Axel Jantsch

    Ease: Energy optimization through adaptation–a review of runtime energy-aware approximate deep learning algorithms

    Authorea Preprints, Authorea, 2024

    | bib

    @article{shakibhamedan2024ease,
      title = {Ease: Energy optimization through adaptation--a review of runtime energy-aware approximate deep learning algorithms},
      author = {Shakibhamedan, Salar and Aminifar, Amin and Taherinejad, Nima and Jantsch, Axel},
      journal = {Authorea Preprints},
      year = {2024},
      publisher = {Authorea}
    }
    

13. 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

    pdf | bib

    @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},
    }
    

14. 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

    pdf | bib

    @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},
    }
    

15. 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

    pdf | bib

    @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},
    }
    

16. 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

    pdf | bib

    @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},
    }
    

17. 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

    pdf | bib

    @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},
    }
    

18. 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

    pdf | bib

    @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},
    }
    

19. 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

    pdf | bib

    @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},
    }
    

20. 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

    pdf | bib

    @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},
    }
    

21. 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

    pdf | bib

    @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