About Salma Kharrat 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 Events Presented Events May 3 - May 9, 2026 Learning under Limited Information across Federated, Multi-Agent, and LLM Settings 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.
Learning under Limited Information across Federated, Multi-Agent, and LLM Settings 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.
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