FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous Agents
3.20T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.21361.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryFedAgentKE is a framework enabling heterogeneous LLM-based agent systems to collaboratively evolve transferable reasoning abstractions via federated semantic knowledge distillation and aggregation, without sharing raw trajectories. Experiments show consistent gains across cross-framework and cross-task settings.
Why it mattersA concrete proposal for cross-agent knowledge transfer without raw-data sharing, relevant to anyone designing multi-agent pipelines that need shared reasoning memory.
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