2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026
MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving
Zhaoyuan Su, Olatunji Ruwase, Karthik Ganesan +5
Production LLM workloads increasingly serve discriminative tasks, such as classification, recommendation, and verification, whose answers are read from the logits of a single prefi…
cs.CR2023★ 2 cited
BlackJack: Secure machine learning on IoT devices through hardware-based shuffling
Karthik Ganesan, Michal Fishkin, Ourong Lin +1
Neural networks are seeing increased use in diverse Internet of Things (IoT) applications such as healthcare, smart homes and industrial monitoring. Their widespread use makes neur…