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cs.LG2025
Memory- and Latency-Constrained Inference of Large Language Models via Adaptive Split Computing
Mingyu Sung, Vikas Palakonda, Suhwan Im +4
Large language models (LLMs) have achieved near-human performance across diverse reasoning tasks, yet their deployment on resource-constrained Internet-of-Things (IoT) devices rema…
cs.LG2021★ 76 cited
Fast Federated Learning by Balancing Communication Trade-Offs
Milad Khademi Nori, Sangseok Yun, Il-Min Kim
Federated Learning (FL) has recently received a lot of attention for large-scale privacy-preserving machine learning. However, high communication overheads due to frequent gradient…