Special Session on Tiny Machine Learning

@WCCI 2026 - June 21-26 2026, Maastricht, The Netherlands

About this Special Session

We are glad to announce the Special Session on Tiny Machine Learning, to be held in Maastricht, The Netherlands in WCCI 2026. All the information about the conference can be found at the official website.

The computing everywhere paradigm is paving the way for the pervasive diffusion of tiny devices (such as Internet-of-things or edge computing devices) endowed with intelligent abilities. Achieving this goal requires machine and deep learning solutions to be completely redesigned to fit the severe technological constraints on computation, memory, and power consumption typically characterizing these tiny devices. This is exactly where Tiny Machine Learning (TinyML) comes into play. TinyML is a new and promising area of Machine Learning aimed at designing and developing Machine and Deep Learning solutions that can be executed on tiny devices.

This special session aims at exploring the latest advancements, models, algorithms, methodologies, and applications in TinyML.

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Call for papers

Authors are invited to submit articles combining aspects of tiny devices and ML.

We welcome papers on a wide range of topics, including but not limited to:

  • Optimization and compression methods for TinyML models and algorithms
  • Effective and efficient TinyML models and algorithms for resource-constrained devices
  • Energy-efficient strategies and mechanisms for TinyML
  • Hardware platforms for TinyML: microcontroller, neural/hardware accelerators, reconfigurable hardware
  • Data collection and preprocessing for TinyML
  • Benchmarks, datasets, and performance evaluation for TinyML
  • Security and privacy in TinyML
  • On-device TinyML Learning: models, algorithms, and mechanisms
  • Adaptation and Personalization of TinyML models
  • Data Stream, Incremental, or Continual Learning for TinyML
  • Unsupervised and Semi-supervised Learning in TinyML
  • Ethics and regulatory issues in TinyML
  • Natural Learning Processing in TinyML
  • Distributed and Federated Learning and Inference
  • Fault detection and diagnosis in TinyML
  • Human-Machine Interactions in TinyML
  • Sustainability of TinyML
  • Applications of TinyML (Smart Cities, Healthcare, Networking, Industry 4.0/5.0, etc..)

Important dates

Submission rules and form can be found in the official conference website.

  • Submission deadline: 31st January 2026
  • Notification of acceptance: 15th March 2026
  • Conference date: 21st June 2026 - 26th June 2026

Organizers

  • Massimo Pavan - Politecnico di Milano, Italy
  • Manuel Roveri - Politecnico di Milano, Italy

For further information, you can contact the publicity commitee members at massimo.pavan@polimi.it and hazemhesham.shalby@polimi.it



In collaboration with the EDGE AI FOUNDATION

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