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HiRL: Hierarchical Reinforcement Learning for Coordinated Resource Management in Heterogeneous Edge Computing
Published in ArXiv cs.DC Recent Papers (2026)Subjects: “…Computer Science & IT…”
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Agentic Performance at the Edge: Insights from Benchmarking
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Amortized Asynchronous Byzantine Reliable Broadcast with Optimal Resilience
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Autonomous FAIR Digital Objects: From Passive Assertions to Active Knowledge
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Accelerating Locality-Driven Integration in Quantum Chemistry with Block-Structured Matrix Multiplication
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FusionRCG: Orchestrating Recursive Computation Graphs across GPU Memory Hierarchies
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DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
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Edge-Cloud Collaborative Pothole Detection via Onboard Event Screening and Federated Temporal Segmentation
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Lakestream: A Consistent and Brokerless Data Plane for Large Foundation Model Training
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Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks
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Multi-Tier Labeling and Physics-Informed Learning for Orbital Anomaly Detection at Scale
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Cloud Performance Decomposition for Long-Term Performance Engineering: A Case Study
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KV-RM: Regularizing KV-Cache Movement for Static-Graph LLM Serving
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Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon
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Keeping track of errors: A study of SHACL-DS for RDF dataset validation on the ERA RINF Knowledge Graph
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Data Path Fusion in GPU for Analytical Query Processing
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Toward Multi-Database Query Reasoning for Text2Cypher
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ScaleGANN: Accelerate Large-Scale ANN Indexing by Cost-effective Cloud GPUs
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HOME-KGQA: A Benchmark Dataset for Multimodal Knowledge Graph Question Answering on Household Daily Activities
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Detect, Localize, and Explain: Interactive Hierarchical Log Anomaly Analytics with LLM Augmentation
Published in ArXiv cs.DB Recent Papers (2026)Subjects: “…Computer Science & IT…”
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