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Computer, Electrical and Mathematical Sciences and Engineering
CEMSE
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decentralized learning

Salma Kharrat Ph.D. Dissertation Defense

Salma Kharrat, Ph.D. Student, Computer Science
May 7, 15:00 - 16:45

B3 R5220

Federated learning personalized learning decentralized learning Reinforcement Learning black-box optimization prompt optimization decentralized systems combinatorial optimization observability inference Trustworthy AI trustworthy machine learning intelligent systems LLM

This dissertation studies learning under structural information constraints across three major paradigms: federated learning, cooperative multi-agent reinforcement learning, and black-box optimization of large language models.

Salma Kharrat

Ph.D. Student, Computer Science

Federated learning Trustworthy AI trustworthy machine learning intelligent systems decentralized systems combinatorial optimization personalized learning decentralized learning Reinforcement Learning observability inference black-box optimization LLM prompt optimization

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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