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Erich Malan

Erich Malan's picture

Ph.D. in Ingegneria Informatica E Dei Sistemi , 38th cycle (2022-2025)

Ph.D. obtained in 2026

Dissertation:

Distributed and Federated Learning over IoT networks (Abstract)

Tutors:

Andrea Calimera Enrico Macii

Research presentation:

Poster

Profile

Research topic

Distributed and Federated Learning over IoT networks

Keywords

Computer architectures and Computer aided design

Biography

Erich Malan earned an M.Sc. in Data Science and Engineering from the Politecnico di Torino in 2021. He is currently pursuing a PhD at the Electronic Design Automation (EDA) Group within the Department of Control and Computer Engineering at the same institution. His research explores the intersection of artificial intelligence and the massive volumes of data generated by ubiquitous IoT networks, with a particular emphasis on efficient and privacy-preserving intelligent services.

Within this context, distributed and federated learning paradigms represent an effective and scalable approach for training deep learning models directly over decentralized data. His work primarily focuses on optimizing Federated Learning (FL) strategies to reduce synchronization overhead and maximize the efficient use of the limited computational, communication, and energy resources available on low-power IoT nodes.
He focuses on designing dynamic workflows for convergence-aware and budget-constrained training, maintaining accuracy and efficiency in resource-limited environments.

Beyond these core objectives, his research also addresses broader challenges, including the data and system heterogeneity inherent in cross-device settings, emerging security and privacy threats that undermine the confidentiality and robustness of implementations, and the need to reduce reliance on costly human supervision for decentralized data annotation. By addressing these challenges through general and practical solutions, he promotes the deployment of IoT knowledge exchange in an efficient, privacy-conscious, and robust fashion. His long-term ambition is to pave the way for the large-scale adoption of ubiquitous intelligent services.

Awards and Honors

  • Certificate of attendance to conference as a speaker at the IEEE International Symposium on Low Power Electronics and Design (ISLPED) 2023. (2023)
  • Certificate of attendance to conference as a speaker at the 31st IEEE International Conference on Electronics Circuits and Systems (ICECS), 2024. (2024)
  • Certificate of attendance to conference as a speaker at the IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), 2025 (2025)
  • Certificate of participation as a session chair at the conference IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), 2025. Session chair for: 2025 IEEE COMPSAC International Workshop on Modeling and Verifying Distributed-Embedded Applications (MVDA 2025) 2025 IEEE International Workshop on Rising ICT Solutions for Smart Grids as Multi-energy Systems (ICT4SmartGrid 2025) (2025)
  • Certificate of presentation at the International Joint Conference on Neural Networks (IJCNN) 2025. (2025)
  • PhD DAUIN Quality Award 2025 (2025)
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Teaching

Teachings

Bachelor of Science

  • Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
  • Informatica. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
  • Informatica. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
  • Informatica. A.A. 2025/26, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
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Research

Research groups

Publications

Works published during the Ph.D. View all publications in Porto@Iris

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