Graph-Structured Deep Learning Framework for Multi-task Contention Identification with High-dimensional Metrics
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Xiao, Ni, Yinan, Tang, Yuqi, Qiu, Zhimin, Wang, Chen, Yuan, Tingzhou |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Predictive-LoRA: A Proactive and Fragmentation-Aware Serverless Inference System for LLMs
by: Ni, Yinan, et al.
Published: (2025)
by: Ni, Yinan, et al.
Published: (2025)
Spatiotemporal Traffic Prediction in Distributed Backend Systems via Graph Neural Networks
by: Qiu, Zhimin, et al.
Published: (2025)
by: Qiu, Zhimin, et al.
Published: (2025)
Metric Criticality Identification for Cloud Microservices
by: Singal, Akanksha, et al.
Published: (2025)
by: Singal, Akanksha, et al.
Published: (2025)
FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive Layer-wise Pruning and Task-aware Aggregation
by: Yu, Zhen, et al.
Published: (2025)
by: Yu, Zhen, et al.
Published: (2025)
CoGenT: A Content-oriented Generative-hit Framework for Content Delivery Networks
by: Wang, Peng, et al.
Published: (2024)
by: Wang, Peng, et al.
Published: (2024)
BlazingAML: High-Throughput Anti-Money Laundering (AML) via Multi-Stage Graph Mining
by: Ye, Haojie, et al.
Published: (2026)
by: Ye, Haojie, et al.
Published: (2026)
Gensor: A Graph-based Construction Tensor Compilation Method for Deep Learning
by: Liu, Hangda, et al.
Published: (2025)
by: Liu, Hangda, et al.
Published: (2025)
Complete Graph Identification in Population Protocols
by: Kanaya, Haruki, et al.
Published: (2024)
by: Kanaya, Haruki, et al.
Published: (2024)
eBeeMetrics: An eBPF-based Library Framework for Feedback-free Observability of QoS Metrics
by: Ibnath, Muntaka, et al.
Published: (2026)
by: Ibnath, Muntaka, et al.
Published: (2026)
MOPAR: A Model Partitioning Framework for Deep Learning Inference Services on Serverless Platforms
by: Duan, Jiaang, et al.
Published: (2024)
by: Duan, Jiaang, et al.
Published: (2024)
DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs
by: Au, Ashley Hoi-Ting, et al.
Published: (2026)
by: Au, Ashley Hoi-Ting, et al.
Published: (2026)
FIKIT: Priority-Based Real-time GPU Multi-tasking Scheduling with Kernel Identification
by: Wu, Wenqing
Published: (2023)
by: Wu, Wenqing
Published: (2023)
Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning
by: Xiao, Bingnan, et al.
Published: (2026)
by: Xiao, Bingnan, et al.
Published: (2026)
EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution
by: Bourgeois, Daniel, et al.
Published: (2024)
by: Bourgeois, Daniel, et al.
Published: (2024)
DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs
by: Yao, Xinyu, et al.
Published: (2025)
by: Yao, Xinyu, et al.
Published: (2025)
Collaborative UAVs Multi-task Video Processing Optimization Based on Enhanced Distributed Actor-Critic Networks
by: Rong, Ziqi, et al.
Published: (2024)
by: Rong, Ziqi, et al.
Published: (2024)
Optimizing CDN Architectures: Multi-Metric Algorithmic Breakthroughs for Edge and Distributed Performance
by: Absur, Md Nurul, et al.
Published: (2024)
by: Absur, Md Nurul, et al.
Published: (2024)
AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems
by: Wang, Lehao, et al.
Published: (2024)
by: Wang, Lehao, et al.
Published: (2024)
Optimizing High-Throughput Distributed Data Pipelines for Reproducible Deep Learning at Scale
by: Mittal, Kashish, et al.
Published: (2026)
by: Mittal, Kashish, et al.
Published: (2026)
Maple: A Multi-agent System for Portable Deep Learning across Clusters
by: Wu, Molang, et al.
Published: (2025)
by: Wu, Molang, et al.
Published: (2025)
An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data
by: Zhang, Jiaojiao, et al.
Published: (2025)
by: Zhang, Jiaojiao, et al.
Published: (2025)
Exploration on Highly Dynamic Graphs
by: Saxena, Ashish, et al.
Published: (2026)
by: Saxena, Ashish, et al.
Published: (2026)
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework
by: Mei, Junyi, et al.
Published: (2024)
by: Mei, Junyi, et al.
Published: (2024)
LoHan: Low-Cost High-Performance Framework to Fine-Tune 100B Model on a Consumer GPU
by: Liao, Changyue, et al.
Published: (2024)
by: Liao, Changyue, et al.
Published: (2024)
Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling
by: Zhang, Xinyi, et al.
Published: (2024)
by: Zhang, Xinyi, et al.
Published: (2024)
BandPilot: Towards Performance- and Contention-Aware GPU Dispatching in AI Clusters
by: Zhang, Kunming, et al.
Published: (2025)
by: Zhang, Kunming, et al.
Published: (2025)
Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
by: Wang, Shilong, et al.
Published: (2025)
by: Wang, Shilong, et al.
Published: (2025)
PathWeaver: A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search
by: Kim, Sukjin, et al.
Published: (2025)
by: Kim, Sukjin, et al.
Published: (2025)
Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing
by: Luo, Yizhou, et al.
Published: (2024)
by: Luo, Yizhou, et al.
Published: (2024)
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning
by: Li, Yanli, et al.
Published: (2024)
by: Li, Yanli, et al.
Published: (2024)
Energy efficiency optimization of task-parallel codes on asymmetric architectures
by: Costero, Luis, et al.
Published: (2024)
by: Costero, Luis, et al.
Published: (2024)
ReinFog: A Deep Reinforcement Learning Empowered Framework for Resource Management in Edge and Cloud Computing Environments
by: Wang, Zhiyu, et al.
Published: (2024)
by: Wang, Zhiyu, et al.
Published: (2024)
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
by: Wang, Tianyu, et al.
Published: (2024)
by: Wang, Tianyu, et al.
Published: (2024)
A Digital Twin-based Multi-Agent Reinforcement Learning Framework for Vehicle-to-Grid Coordination
by: Hua, Zhengchang, et al.
Published: (2025)
by: Hua, Zhengchang, et al.
Published: (2025)
LLM-Enhanced Deep Reinforcement Learning for Task Offloading in Collaborative Edge Computing
by: Guo, Hao, et al.
Published: (2026)
by: Guo, Hao, et al.
Published: (2026)
Static task mapping for heterogeneous systems based on series-parallel decompositions
by: Wilhelm, Martin, et al.
Published: (2025)
by: Wilhelm, Martin, et al.
Published: (2025)
Towards the Distributed Large-scale k-NN Graph Construction by Graph Merge
by: Zhang, Cheng, et al.
Published: (2025)
by: Zhang, Cheng, et al.
Published: (2025)
RIPPLE++: An Incremental Framework for Efficient GNN Inference on Evolving Graphs
by: Naman, Pranjal, et al.
Published: (2026)
by: Naman, Pranjal, et al.
Published: (2026)
CondenseGraph: Communication-Efficient Distributed GNN Training via On-the-Fly Graph Condensation
by: Zhang, Zizhao, et al.
Published: (2026)
by: Zhang, Zizhao, et al.
Published: (2026)
Pollen: High-throughput Federated Learning Simulation via Resource-Aware Client Placement
by: Sani, Lorenzo, et al.
Published: (2023)
by: Sani, Lorenzo, et al.
Published: (2023)
Similar Items
-
Predictive-LoRA: A Proactive and Fragmentation-Aware Serverless Inference System for LLMs
by: Ni, Yinan, et al.
Published: (2025) -
Spatiotemporal Traffic Prediction in Distributed Backend Systems via Graph Neural Networks
by: Qiu, Zhimin, et al.
Published: (2025) -
Metric Criticality Identification for Cloud Microservices
by: Singal, Akanksha, et al.
Published: (2025) -
FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive Layer-wise Pruning and Task-aware Aggregation
by: Yu, Zhen, et al.
Published: (2025) -
CoGenT: A Content-oriented Generative-hit Framework for Content Delivery Networks
by: Wang, Peng, et al.
Published: (2024)