Gabriel Giangi

Category: Article

  • Federated Graph Neural Networks: An In-Depth Look

    Federated Graph Neural Networks: An In-Depth Look

    In the evolving field of Federated Learning, an under-explored aspect lies in the relationships between participants, often forming a complex graph topology. This post delves into the concept of these relationship graphs, using medical research collaboration and import/export logistic tracking as real-world examples.

  • Harnessing the Power of Affective Computing: Use Cases and Research Areas

    Harnessing the Power of Affective Computing: Use Cases and Research Areas

    In the intriguing field of affective computing, Speech Emotion Recognition (SER) stands out as a rapidly evolving discipline. With the advent of deep learning and large pre-trained self-supervised models like Wav2Vec 2.0 and WavLM, SER is undergoing a significant transformation. The introduction of the SEIR-DB, one of the most diverse SER datasets, and the development…