ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over the Network Edge

arXiv:2601.13824 · cs.LG · Submitted 2026-01-20 · Read on arXiv

cs.LG

Submitted: 2026-01-20

Updated: 2026-10-17

Terminology

• Data Heterogeneity — 2× in this paper · explained in 3 episodes
• Efficient LLM-centric Split Aggregation — 2× in this paper
• Federated Learning — 2× in this paper · explained in 17 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Resource Constraints — 2× in this paper · explained in 4 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Kullback-Leibler (KL) Divergence — 1× in this paper · explained in 6 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 8 episodes
• Robustness — 1× in this paper · explained in 5 episodes

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