Optimizing Multilingual LLMs via Federated Learning: A Study of Client Language Composition
arXiv:2603.24242v2 Announce Type: replace
Abstract: Federated Learning (FL) of Large Language Models (LLMs) in multilingual environments presents significant challenges stemming from heterogeneous language distributions across clients and disparities …