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PhD Studentship: A continual learning approach for the development of robust robotic control systems
quantity, quality, or distribution, which is a challenge to highly customised deep learning solutions. There is a need for the development of new approaches that can continuously learn and adapt to changes
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memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital
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Fully funded Ph.D. opportunity in Aerospace AI. Sponsored by EPSRC and BAE Systems covering tuition, fees and a bursary of up to £19,569 (tax free). Combinatory Artificial Intelligence (also known
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