Optimizing Multilingual LLMs via Federated Learning: A Study of Client Language Composition
Optimizing Multilingual LLMs via Federated Learning: A Study of Client Language Composition explores This paper explores optimizing multilingual LLMs using federated learning by analyzing the impact of client language composition on model performance and fairness.. Commercial viability score: 3/10 in LLM Training.
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