Research Assistant, “Dynamic Models for Real Time Autonomous Decision Making in the Real World”

We are looking for a Research Assistant (with permission to work in Vietnam) for the project “Dynamic Models for Real Time Autonomous Decision Making in the Real World”. We are looking for candidates with a Computer Science bachelor degree, or related fields (final stages of the degree is also ok).

There is also funding for master students for the same project (applications should open soon), which are expected to start in September. Hence, this position could also work as an early start for the masters program.

More information at: https://wp.lancs.ac.uk/colab/research-assistant-dynamic-models-for-real-time-autonomous-decision-making-in-the-real-world/. Feel free to contact us if you have any questions! 🙂

Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning

Our work, “SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning” was presented at WACV 2026. The work introduces a novel technique for robust federated learning, based on using synthetic data to defend against adversaries in a privacy-preserving way. Results show improved performance against both gradient manipulation and backdoors. Our paper is freely available, and our code is available on GitHub.

Overview of our framework.