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Author

N. Shroff

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Preprint Sep 2026

Communication-Aware Model Distributed Inference via Latent Representation Compression

We study optimization of distributed model inference over resource-constrained edge resources. We propose a framework that optimizes the trade-off between model accuracy and communication costs by controlling latent representation compression to meet strict Quality of Service (QoS) throughput targets. For settings with...

Peyman Gholami, Theodoros-Thirimachos Davarakis, Teng Li et al. · 0 citations
Book Open access Aug 2026

Toward WAN-Aware LLM Training Across Heterogeneous, Geo-Distributed Sites

Preliminary results from a geo-distributed LLM training prototype that treats networking constraints as first-order design concerns are presented, motivating adaptive networking support for synchronization, compression, placement, telemetry, and recovery in geo-distributed LLM training.

Zi-Yue Luo, Jiaxuan Cai, Cedric Le Denmat et al. · 0 citations

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