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    FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training

    Published in ArXiv cs.DC Recent Papers (2026)
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    Taming Request Imbalance: SLO-Aware Scheduling for Disaggregated LLM Inference

    Published in ArXiv cs.DC Recent Papers (2026)
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    Leveraging Teaching on Demand: Approaching HPC to Undergrads

    Published in ArXiv cs.DC Recent Papers (2026)
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    A Treasure Trove of Performance: Analyzing the IO500 Submission Data

    Published in ArXiv cs.DC Recent Papers (2026)
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    PipeMax: Enhancing Offline LLM Inference on Commodity GPU Servers

    Published in ArXiv cs.DC Recent Papers (2026)
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    Heterogeneous Model Fusion for Privacy-Aware Multi-Camera Surveillance via Synthetic Domain Adaptation

    Published in ArXiv cs.DC Recent Papers (2026)
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    FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training

    Published in ArXiv cs.DC Recent Papers (2026)
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    On the Distortion of Partitioning Performance by Random Quantum Circuits

    Published in ArXiv cs.DC Recent Papers (2026)
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    How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences

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    Cross-Layer Energy Analysis of Multimodal Training on Grace Hopper Superchips

    Published in ArXiv cs.DC Recent Papers (2026)
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    Decentralized Stratified Sampling for Low-Latency Approximate Geospatial Data Stream Processing in Edge-Cloud Architectures

    Published in ArXiv cs.DC Recent Papers (2026)
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    Stochastic Sparse Attention for Memory-Bound Inference

    Published in ArXiv cs.DC Recent Papers (2026)
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    nvPAX: Constrained Optimization for Dynamic Power Allocation in Hierarchical and Multi-Tenant Systems

    Published in ArXiv cs.DC Recent Papers (2026)
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    Joint Temporal-Structural Representation Learning for Distributed Fault Discrimination in Microservice Architectures

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    SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving

    Published in ArXiv cs.DC Recent Papers (2026)
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    CvxCluster: Solving Large, Complex, Granular Resource Allocation Problems 100-1000x Faster

    Published in ArXiv cs.DC Recent Papers (2026)
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    MANOJAVAM: A Scalable, Unified FPGA Accelerator for Matrix Multiplication and Singular Value Decomposition in Principal Component Analysis

    Published in ArXiv cs.DC Recent Papers (2026)
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    VUDA: Breaking CUDA-Vulkan Isolation for Spatial Sharing of Compute and Graphics on the Same GPU

    Published in ArXiv cs.DC Recent Papers (2026)
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    Static Type Checking for Database Access Code

    Published in ArXiv cs.DB Recent Papers (2026)
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    Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test

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