A co-designed edge accelerator that avoids loading redundant expert weights when speculative decoding meets mixture-of-experts, cutting latency by up to 56.3% and energy by up to 44.1% in simulation.
EdgeMoE: Empowering Sparse Large Language Models on Mobile Devices,
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EdgeXpert: An Edge Device for Memory-Efficient LLM Inference with Mixture-of-Experts and Speculative Decoding
A co-designed edge accelerator that avoids loading redundant expert weights when speculative decoding meets mixture-of-experts, cutting latency by up to 56.3% and energy by up to 44.1% in simulation.