Master's thesis: on Distributed and Federated AI for Autonomous Vehicles

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Data Science

In short

This Master's thesis offers two topics focused on Distributed and Federated AI for Autonomous Vehicles, investigating federated self-supervised learning and knowledge transfer. The work involves implementing and evaluating methods using autonomous driving data and will be conducted on-site at RISE Kista.

Responsibilities

Develop and evaluate novel SSL methods for driving data (Topic 1).
Investigate hybrid supervised/self-supervised federated learning (Topic 1).
Compare SSL methods with relevant supervised and federated baselines (Topic 1).
Investigate knowledge distillation/transfer across heterogeneous models (Topic 2).
Study adaptation to changes in model architecture, sensors or hardware (Topic 2).
Evaluate knowledge transfer within federated learning (Topic 2).
Implement and experimentally evaluate proposed methods using autonomous-driving data (e.g., Zenseact Open Dataset).
Present results to DREAM project partners.

Requirements

Highly motivated Master’s student.
Strong background in machine learning and computer vision.
Essential skills: deep learning, Python programming.
Ability to read and understand scientific literature.
Experience working with complex systems.
Expected to work on-site at RISE Kista at least three days per week.

Desired Qualifications

Experience with federated learning.
Experience with self-supervised learning.
Experience with knowledge distillation.
Experience with autonomous-driving data is considered a merit.

Benefits

Compensation: 39 000 SEK upon successful completion of a high-quality thesis.
Thesis work carried out in close collaboration with the research team at RISE and Zenseact.

Skills

machine learningcomputer visiondeep learningPythonfederated learningself-supervised learningknowledge distillation

#AI#Autonomous Vehicles#Machine Learning#Computer Vision#Federated Learning#Self-Supervised Learning#Knowledge Distillation#Deep Learning#Python#Thesis

About RISE Research Institutes of Sweden

As the challenges facing us as a society become increasingly complex, innovation alone is not enough; you need a strong innovation partner who can provide comprehensive support and a broad range of perspectives. This is where RISE comes in. RISE is a unique mobilisation of resources to increase the pace of innovation in our society. By gathering a number of research institutes and over a hundred test beds and demonstration environments under the umbrella of a single innovation partner, we create improved conditions for society’s problem solvers. We gather around challenges and organise…

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