FL-MAESTRO introduces multi-agent LLM orchestration for resource-constrained federated learning
Read the original at arxiv.org→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...
Original headline: "FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated Learning"
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- Aug 24, 04:00 UTC arXiv cs.AI lead source FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated Learning