POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration

arXiv:2506.08785 · cs.AR, cs.AI, cs.CC, eess.IV · Submitted 2025-06-10 · Read on arXiv

cs.AR, cs.AI, cs.CC, eess.IV

Submitted: 2025-06-10

Updated: 2025-06-10

Terminology

• Accuracy — 18× in this paper · explained in 1 episode
• Quantization — 13× in this paper · explained in 15 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Energy Efficiency — 4× in this paper · explained in 3 episodes
• Adaptability — 3× in this paper · explained in 1 episode
• Edge AI — 3× in this paper · explained in 2 episodes
• Pruning — 3× in this paper · explained in 4 episodes
• Transformer Model — 3× in this paper · explained in 2 episodes
• Transformer Models — 3× in this paper · explained in 3 episodes
• Transformers — 3× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 2× in this paper · explained in 25 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Carry-Save Adder — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 10 episodes
• Decoder — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• HE Artificial Intelligence — 1× in this paper
• Hardware-Software Co-design — 1× in this paper · explained in 2 episodes
• Internet of Things — 1× in this paper
• Quantization-Aware Training — 1× in this paper · explained in 3 episodes
• Sparsity — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 15 episodes
• Verification — 1× in this paper · explained in 2 episodes

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