Privatar uses horizontal frequency partitioning and distribution-aware minimal perturbation to enable private offloading of VR avatar reconstruction, supporting 2.37x more users with modest overhead.
Learning to Design Circuits , publisher =
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
ZOAF recovers gradient-descent directions from few black-box simulations via hybrid scheduling and multi-start, outperforming baselines on three schematics with 1.3-3.8x fewer calls.
pcbGPT generates KiCad schematics from natural language with 0.90 pass@1 on 20 embedded tasks via tool-augmented LLM synthesis and multi-stage validation.
citing papers explorer
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Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading
Privatar uses horizontal frequency partitioning and distribution-aware minimal perturbation to enable private offloading of VR avatar reconstruction, supporting 2.37x more users with modest overhead.
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ZOAF: Towards Efficient Zeroth-Order Optimization for Analog/RF Circuit Design
ZOAF recovers gradient-descent directions from few black-box simulations via hybrid scheduling and multi-start, outperforming baselines on three schematics with 1.3-3.8x fewer calls.
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pcbGPT: Automatic PCB Schematic Synthesis from Natural Language Requirements
pcbGPT generates KiCad schematics from natural language with 0.90 pass@1 on 20 embedded tasks via tool-augmented LLM synthesis and multi-stage validation.