Suhwan Im
Timeline
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Bibliography
2025
Range Asymmetric Numeral Systems-Based Lightweight Intermediate Feature Compression for Split Computing of Deep Neural Networks.
CoRR, November, 2025
Why Should the Server Do It All?: A Scalable, Versatile, and Model-Agnostic Framework for Server-Light DNN Inference over Massively Distributed Clients via Training-Free Intermediate Feature Compression.
CoRR, November, 2025
Memory- and Latency-Constrained Inference of Large Language Models via Adaptive Split Computing.
CoRR, November, 2025