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  1. Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS

    Published in ArXiv cs.DM Recent Papers (2026)
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  2. When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge

    Published in ArXiv cs.DL Recent Papers (2026)
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  3. PlotPick: AI-powered batch extraction of numerical data from scientific figures

    Published in ArXiv cs.DL Recent Papers (2026)
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  4. 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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  5. 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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  6. CCL-Bench 1.0: A Trace-Based Benchmark for LLM Infrastructure

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

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

    Published in ArXiv cs.DC Recent Papers (2026)
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  9. ResiHP: Taming LLM Training Failures with Dynamic Hybrid

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

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

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

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

    Published in ArXiv cs.DC Recent Papers (2026)
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  15. 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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  16. 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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  17. 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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  18. 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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  19. A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis

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

    Published in ArXiv cs.DC Recent Papers (2026)
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