Vincent Lannurien
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66 lines
7.3 KiB
YAML
66 lines
7.3 KiB
YAML
venue: MobiSys
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year: 2025
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date: "2025-06-23"
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tags: [mobile-computing, edge-computing, networking]
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selected:
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- dblp_key: "conf/mobisys/MaCC025"
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title: "Hopter: a Safe, Robust, and Responsive Embedded Operating System"
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tldr: "Hopter is a new embedded OS that enforces memory safety and real-time responsiveness through a Rust-based task model with cooperative and preemptive scheduling co-designed from the ground up."
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why_notable: "Building a ground-up safe embedded OS is a long-standing challenge; Hopter addresses it without sacrificing the determinism that IoT and robotics workloads demand, offering a credible alternative to unsafe C-based RTOSes."
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- dblp_key: "conf/mobisys/WangXL25"
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title: "WhisperFlow: speech foundation models in real time"
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tldr: "WhisperFlow pipelines and partially overlaps Whisper's encode-decode stages so that large speech foundation models can transcribe audio with latency low enough for interactive mobile use."
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why_notable: "Running large encoder-decoder speech models in real time on mobile hardware was previously impractical; the paper shows that careful pipeline scheduling—not quantization alone—can close this gap, with implications for on-device voice assistants."
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- dblp_key: "conf/mobisys/JungLKK0C25"
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title: "ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented Reality"
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tldr: "ARIA partitions and schedules vision foundation model layers across CPU, GPU, and NPU on a mobile SoC to meet the strict latency budget of augmented-reality pipelines."
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why_notable: "Foundation models are typically too large for AR frame rates; ARIA's heterogeneous mapping strategy achieves real-time throughput without dedicated server offload, making high-quality AR semantics viable on commodity handsets."
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- dblp_key: "conf/mobisys/ChenFZZHL25"
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title: "You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality"
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tldr: "YORO eliminates redundant per-eye rendering in mobile VR by synthesizing one eye's view from the other using a lightweight neural warp, cutting GPU work nearly in half."
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why_notable: "Stereo rendering is the dominant energy cost in standalone VR headsets; halving it via a neural single-render approach is a surprising result that could significantly extend battery life on devices like Quest."
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- dblp_key: "conf/mobisys/WenTP0LCZLLZL25"
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title: "AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation"
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tldr: "AutoDroid-V2 improves on-device GUI automation agents by having a small language model generate executable action code rather than selecting from a fixed action vocabulary, dramatically improving task success rates."
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why_notable: "Shifting from action classification to code generation is a paradigm change for mobile agents; the paper demonstrates that even small, phone-resident SLMs can outperform larger cloud models on standard Android benchmarks when given the right output format."
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- dblp_key: "conf/mobisys/ShenHWZSY025"
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title: "EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices"
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tldr: "EdgeLoRA multiplexes many LoRA-adapted LLM variants on a single edge GPU by sharing the frozen base model weights and swapping only the low-rank adapters, enabling multi-tenant LLM inference at the edge."
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why_notable: "Multi-tenant serving of personalized LLMs on a single edge node is an open systems problem; EdgeLoRA's adapter-swap architecture achieves near-dedicated throughput per tenant while keeping memory footprint proportional to the number of adapters rather than full model copies."
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- dblp_key: "conf/mobisys/WangYYG25"
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title: "Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection"
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tldr: "Rather than fine-tuning from a generic base, this system selects the best pre-existing task-specific model checkpoint as the personalization starting point, guided by an interpretable feature-matching score."
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why_notable: "The finding that checkpoint selection dominates fine-tuning cost savings—and that an explainable selector can match exhaustive search—challenges the assumption that on-device personalization must always begin from a single canonical base model."
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- dblp_key: "conf/mobisys/DoddsBZA25"
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title: "Non-Line-of-Sight 3D Object Reconstruction via mmWave Surface Normal Estimation"
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tldr: "By estimating surface normals from mmWave reflections, this system reconstructs the 3D shape of objects hidden around corners without requiring a line-of-sight path."
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why_notable: "NLOS 3D reconstruction with commodity mmWave hardware is a significant sensing advance; using surface normals rather than time-of-flight alone yields object reconstructions detailed enough to identify object categories, with clear implications for autonomous driving and search-and-rescue."
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- dblp_key: "conf/mobisys/QianP25"
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title: "Toward Spoofing-Resilient and Communication-Integrated MmWave Radar Sensing"
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tldr: "This work integrates communication waveforms into mmWave radar so that sensing and data transmission share the same spectrum, while a spoofing-resilience mechanism prevents adversarial injection of false radar echoes."
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why_notable: "Combining ISAC (integrated sensing and communications) with active spoofing defense in a single mmWave system addresses two open problems at once; the result is particularly relevant as mmWave bands are slated for both 5G and automotive radar use."
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- dblp_key: "conf/mobisys/YuZXZW25"
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title: "Are LoRa Logical Channels Really Orthogonal? Practically Orthogonalizing Massive Logical Channels"
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tldr: "The paper shows that LoRa's supposedly orthogonal spreading-factor channels have measurable inter-channel interference at scale, then proposes a software-only scheduler that restores near-perfect orthogonality for dense deployments."
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why_notable: "The result that LoRa orthogonality breaks down in realistic dense networks—and that a pure software fix suffices—is a surprising finding that will directly affect how city-scale IoT networks are planned and managed."
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- dblp_key: "conf/mobisys/YiLJSK025"
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title: "Towards End-to-End Latency Guarantee in MEC Live Video Analytics with App-RAN Mutual Awareness"
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tldr: "By exposing RAN scheduling state to the MEC video analytics application—and letting the app's feedback influence RAN scheduling—this system achieves end-to-end latency guarantees that neither layer can provide alone."
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why_notable: "Cross-layer co-design between the RAN and MEC application is rarely demonstrated in a working system; the paper shows that even coarse-grained mutual awareness cuts tail latency by over 50% compared to independent operation."
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- dblp_key: "conf/mobisys/PatabandigeCYDV25"
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title: "Unraveling the Missing Link in Low-power Communication: An Autodyning Receiver Architecture that Achieves a Long Range"
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tldr: "An autodyning receiver design reuses the transmit oscillator for self-mixing, eliminating a separate LO and achieving orders-of-magnitude better sensitivity than prior backscatter receivers without added hardware cost."
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why_notable: "Long-range backscatter has been a persistent gap between battery-free IoT and practical deployment; this architecture achieves kilometer-scale range on microwatts of harvested energy, a result that could unlock new classes of batteryless sensors."
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