FICAL shares tool-usage text summaries instead of model weights in federated LLM agent learning, reporting similar accuracy with far less communication, but the evidence is incomplete.
In Bouamor, H.; Pino, J.; and Bali, K., eds., Pro- ceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , 968–979
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Federated In-Context LLM Agent Learning
FICAL shares tool-usage text summaries instead of model weights in federated LLM agent learning, reporting similar accuracy with far less communication, but the evidence is incomplete.