ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
Published in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
Salma Kharrat, Fares Fourati, & Marco Canini
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Publications
Latent Inference for Effective Multi-Agent Reinforcement Learning under Partial Observability
Published in European Workshop on Reinforcement Learning (EWRL), 2025
Salma Kharrat, Fares Fourati, Mohamed-Slim Alouini, Marco Canini, & Vaneet Aggarwal
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ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
Published in European Workshop on Reinforcement Learning (EWRL), 2025
Salma Kharrat, Fares Fourati, & Marco Canini
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Decentralized Personalized Federated Learning
Published in International Conference on Machine Learning (WiML Workshop), 2025
Salma Kharrat, Marco Canini, Samuel Horvath
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Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
Published in Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Fares Fourati, Salma Kharrat, Vaneet Aggarwal, & Mohamed-Slim Alouini
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DPFL: Decentralized Personalized Federated Learning
Published in Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Salma Kharrat, Marco Canini, Samuel Horvath
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FilFL: Client Filtering for Optimized Client Participation in Federated Learning
Published in European Conference on Artificial Intelligence (ECAI), 2024
Salma Kharrat, Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini, & Marco Canini
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Optimized Client Participation in Federated Learning
Published in International Symposium on Distributed Computing, 2024
Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, & Marco Canini
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