most citedExploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning

20 citations · 21 across the 3 of their papers we have counts for

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cs.LG2025

Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission

Faranaksadat Solat, Joohyung Lee, Mohamed Seif +2

Hybrid Language Models (HLMs) combine the low-latency efficiency of Small Language Models (SLMs) on edge devices with the high accuracy of Large Language Models (LLMs) on centraliz…

cs.LG2023★ 20 cited

Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning

Joohyung Lee, Mohamed Seif, Jungchan Cho +1

Split Federated Learning (SFL) has recently emerged as a promising distributed learning technology, leveraging the strengths of both federated and split learning. It emphasizes the…