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FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated Learning

This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.20518v1 Announce Type: new Abstract: In Federated Learning (FL), the communication topology is a runtime variable rather than a fixed design choice, since links and edge devices drop in and out during training. Each round, the server must commit three coupled decisions, namely the commun…

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  1. 2026-08-24 04:00 · arXiv cs.AI
    FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated Learning

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