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    PlotPick: AI-powered batch extraction of numerical data from scientific figures

    Published in ArXiv cs.DL Recent Papers (2026)
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    AoI-Guided Client Selection for Robust and Timely Federated Intrusion Detection in Cloud-Edge Security Analytics

    Published in ArXiv cs.DL Recent Papers (2026)
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    CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification

    Published in ArXiv cs.DC Recent Papers (2026)
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    CCL-Bench 1.0: A Trace-Based Benchmark for LLM Infrastructure

    Published in ArXiv cs.DC Recent Papers (2026)
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    ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL

    Published in ArXiv cs.DC Recent Papers (2026)
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    ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations

    Published in ArXiv cs.DC Recent Papers (2026)
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    Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization

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    ResiHP: Taming LLM Training Failures with Dynamic Hybrid

    Published in ArXiv cs.DC Recent Papers (2026)
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    Safactory: A Scalable Agent Factory for Trustworthy Autonomous Intelligence

    Published in ArXiv cs.DC Recent Papers (2026)
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    TACO: A Toolsuite for the Verification of Threshold Automata

    Published in ArXiv cs.DC Recent Papers (2026)
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    Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale

    Published in ArXiv cs.DC Recent Papers (2026)
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    VibeServe: Can AI Agents Build Bespoke LLM Serving Systems?

    Published in ArXiv cs.DC Recent Papers (2026)
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    FalconGEMM: Surpassing Hardware Peaks with Lower-Complexity Matrix Multiplication

    Published in ArXiv cs.DC Recent Papers (2026)
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    Relay Buffer Independent Communication over Pooled HBM for Efficient MoE Inference on Ascend

    Published in ArXiv cs.DC Recent Papers (2026)
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    From Coordinate Matching to Structural Alignment: Rethinking Prototype Alignment in Heterogeneous Federated Learning

    Published in ArXiv cs.DC Recent Papers (2026)
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    MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems

    Published in ArXiv cs.DC Recent Papers (2026)
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    SuperPaymaster: Eliminating Centralized Signer Authority via Asset-Oriented Abstraction to Reconcile Usability and Decentralization in Account Abstraction

    Published in ArXiv cs.DC Recent Papers (2026)
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    DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data

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    A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis

    Published in ArXiv cs.DC Recent Papers (2026)
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    LLM-Enhanced Deep Reinforcement Learning for Task Offloading in Collaborative Edge Computing

    Published in ArXiv cs.DC Recent Papers (2026)
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