Below you can find the list of the articles accepted to the workshop (with a link to their preprint where available).

• Learning when to observe: A frugal agent in a high-cost world
• Neural Networks comprising Sequentially Semiseparable Matrices with one dimensional State Variable are Universal Approximators
• TinyMetaFed: Efficient Federated Meta-Learning for TinyML
• On The Potentials of Input Repetition in CNN Networks for Reducing Multiplications
• The Quest of Finding the Antidote to Sparse Double Descent
• Unveiling the Potential of Tiny Machine Learning for Enhanced People Counting in UWB Radar Data
• Towards Comparable Knowledge Distillation in Semantic Image Segmentation
• Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers
• Addressing limitations of TinyML approaches for AI-enabled Ambient Intelligence
• Leveraging low rank filters for efficient and knowledge-preserving lifelong learning