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  1. 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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  2. Taming Request Imbalance: SLO-Aware Scheduling for Disaggregated LLM Inference

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  3. Leveraging Teaching on Demand: Approaching HPC to Undergrads

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  4. A Treasure Trove of Performance: Analyzing the IO500 Submission Data

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  5. PipeMax: Enhancing Offline LLM Inference on Commodity GPU Servers

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  6. Heterogeneous Model Fusion for Privacy-Aware Multi-Camera Surveillance via Synthetic Domain Adaptation

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  7. FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training

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  8. On the Distortion of Partitioning Performance by Random Quantum Circuits

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

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  11. Decentralized Stratified Sampling for Low-Latency Approximate Geospatial Data Stream Processing in Edge-Cloud Architectures

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  12. Stochastic Sparse Attention for Memory-Bound Inference

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  13. nvPAX: Constrained Optimization for Dynamic Power Allocation in Hierarchical and Multi-Tenant Systems

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  14. Joint Temporal-Structural Representation Learning for Distributed Fault Discrimination in Microservice Architectures

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  15. SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving

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  16. CvxCluster: Solving Large, Complex, Granular Resource Allocation Problems 100-1000x Faster

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  17. MANOJAVAM: A Scalable, Unified FPGA Accelerator for Matrix Multiplication and Singular Value Decomposition in Principal Component Analysis

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  18. VUDA: Breaking CUDA-Vulkan Isolation for Spatial Sharing of Compute and Graphics on the Same GPU

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  19. Static Type Checking for Database Access Code

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

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