Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence

no code implementations • 25 Jul 2020 • Aaqib Saeed, Flora D. Salim, Tanir Ozcelebi, Johan Lukkien

Federated learning provides a compelling framework for learning models from decentralized data, but conventionally, it assumes the availability of labeled samples, whereas on-device data are generally either unlabeled or cannot be annotated readily through user interaction.

Federated Learning Self-Supervised Learning +1

Multi-task Self-Supervised Learning for Human Activity Detection

no code implementations • 27 Jul 2019 • Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien

We learn a multi-task temporal convolutional network to recognize transformations applied on an input signal.

Activity Detection Binary Classification +4

Learning behavioral context recognition with multi-stream temporal convolutional networks

no code implementations • 27 Aug 2018 • Aaqib Saeed, Tanir Ozcelebi, Stojan Trajanovski, Johan Lukkien

In this paper, we propose a multi-stream temporal convolutional network to address the problem of multi-label behavioral context recognition.

Feature Engineering Multi-Task Learning