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Bashar Mohammed Ali Ghaleb

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#edge computing Open access Sep 2026

Adaptive Hybrid Quantization Framework for Real-Time Speculative Decoding in Edge-Cloud Systems

High-throughput inference for Large Language Models (LLMs) remains bottlenecked by memory bandwidth constraints and compute latency, particularly in hybrid edge-cloud topologies. This paper proposes an Adaptive Hybrid Quantization (AHQ) framework integrated with real-time speculative decoding. By dynamically allocating...

Bashar Mohammed Ali Ghaleb · 0 citations
#edge computing Open access Sep 2026

Adaptive Hybrid Quantization Framework for Real-Time Speculative Decoding in Edge-Cloud Systems

High-throughput inference for Large Language Models (LLMs) remains bottlenecked by memory bandwidth constraints and compute latency, particularly in hybrid edge-cloud topologies. This paper proposes an Adaptive Hybrid Quantization (AHQ) framework integrated with real-time speculative decoding. By dynamically allocating...

Bashar Mohammed Ali Ghaleb · 0 citations

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