An Ensemble Scheme for Proactive Dominant Data Migration of Pervasive Tasks at the Edge
Fuente:
arXiv
Saved in:
| Main Authors: | Boulougaris, Georgios, Kolomvatsos, Kostas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning
by: Elmahallawy, Mohamed, et al.
Published: (2024)
by: Elmahallawy, Mohamed, et al.
Published: (2024)
Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing
by: Liu, Jiagang, et al.
Published: (2023)
by: Liu, Jiagang, et al.
Published: (2023)
ADAPT: A Self-Calibrating Proactive Autoscaler for Container Orchestration
by: Baghel, Himanshu Singh
Published: (2026)
by: Baghel, Himanshu Singh
Published: (2026)
Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement
by: Makris, Antonios, et al.
Published: (2024)
by: Makris, Antonios, et al.
Published: (2024)
Nexus:Proactive Intra-GPU Disaggregation of Prefill and Decode in LLM Serving
by: Shi, Xiaoxiang, et al.
Published: (2025)
by: Shi, Xiaoxiang, et al.
Published: (2025)
Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach
by: Huang, Yaorong, et al.
Published: (2026)
by: Huang, Yaorong, et al.
Published: (2026)
A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System
by: Wu, Jianqiu, et al.
Published: (2023)
by: Wu, Jianqiu, et al.
Published: (2023)
Stress Monitoring in Healthcare: An Ensemble Machine Learning Framework Using Wearable Sensor Data
by: Sinhal, Arpana, et al.
Published: (2025)
by: Sinhal, Arpana, et al.
Published: (2025)
Distributed Indexing Schemes for k-Dominant Skyline Analytics on Uncertain Edge-IoT Data
by: Lai, Chuan-Chi, et al.
Published: (2023)
by: Lai, Chuan-Chi, et al.
Published: (2023)
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification
by: Ahmed, Faisal, et al.
Published: (2024)
by: Ahmed, Faisal, et al.
Published: (2024)
Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures
by: Wang, Yang, et al.
Published: (2025)
by: Wang, Yang, et al.
Published: (2025)
Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace
by: Jahani-Nezhad, Tayyebeh, et al.
Published: (2024)
by: Jahani-Nezhad, Tayyebeh, et al.
Published: (2024)
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme
by: Park, Jeongmin Brian, et al.
Published: (2024)
by: Park, Jeongmin Brian, et al.
Published: (2024)
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
by: Mujtaba, Ahmed, et al.
Published: (2025)
by: Mujtaba, Ahmed, et al.
Published: (2025)
Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging
by: Theologitis, Michail, et al.
Published: (2024)
by: Theologitis, Michail, et al.
Published: (2024)
MoE-SpeQ: Speculative Quantized Decoding with Proactive Expert Prefetching and Offloading for Mixture-of-Experts
by: Wang, Wenfeng, et al.
Published: (2025)
by: Wang, Wenfeng, et al.
Published: (2025)
HDEE: Heterogeneous Domain Expert Ensemble
by: Ersoy, Oğuzhan, et al.
Published: (2025)
by: Ersoy, Oğuzhan, et al.
Published: (2025)
Challenging GPU Dominance: When CPUs Outperform for On-Device LLM Inference
by: Zhang, Haolin, et al.
Published: (2025)
by: Zhang, Haolin, et al.
Published: (2025)
Revisiting Ensembling in One-Shot Federated Learning
by: Allouah, Youssef, et al.
Published: (2024)
by: Allouah, Youssef, et al.
Published: (2024)
Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design
by: Hou, Xiangwang, et al.
Published: (2025)
by: Hou, Xiangwang, et al.
Published: (2025)
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)
Harnessing Data Spaces to Build Intelligent Smart City Infrastructures Across the Cloud-Edge Continuum
by: Amaxilatis, Dimitrios, et al.
Published: (2025)
by: Amaxilatis, Dimitrios, et al.
Published: (2025)
Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
by: Ryum, Keumseo, et al.
Published: (2025)
by: Ryum, Keumseo, et al.
Published: (2025)
Edge-Parallel Graph Encoder Embedding
by: Lubonja, Ariel, et al.
Published: (2024)
by: Lubonja, Ariel, et al.
Published: (2024)
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment
by: Huang, Hongtao, et al.
Published: (2024)
by: Huang, Hongtao, et al.
Published: (2024)
Proactive and Reactive Autoscaling Techniques for Edge Computing
by: Gupta, Suhrid, et al.
Published: (2025)
by: Gupta, Suhrid, et al.
Published: (2025)
10Cache: Heterogeneous Resource-Aware Tensor Caching and Migration for LLM Training
by: Afroz, Sabiha, et al.
Published: (2025)
by: Afroz, Sabiha, et al.
Published: (2025)
Learnable Sparse Customization in Heterogeneous Edge Computing
by: Xue, Jingjing, et al.
Published: (2024)
by: Xue, Jingjing, et al.
Published: (2024)
Priority-Aware Model-Distributed Inference at Edge Networks
by: Li, Teng, et al.
Published: (2024)
by: Li, Teng, et al.
Published: (2024)
Training Machine Learning models at the Edge: A Survey
by: Khouas, Aymen Rayane, et al.
Published: (2024)
by: Khouas, Aymen Rayane, et al.
Published: (2024)
A Survey on Collaborative DNN Inference for Edge Intelligence
by: Ren, Weiqing, et al.
Published: (2022)
by: Ren, Weiqing, et al.
Published: (2022)
Lightweight Federated Learning over Wireless Edge Networks
by: Hou, Xiangwang, et al.
Published: (2025)
by: Hou, Xiangwang, et al.
Published: (2025)
On Harnessing Idle Compute at the Edge for Foundation Model Training
by: Xue, Leyang, et al.
Published: (2025)
by: Xue, Leyang, et al.
Published: (2025)
Adaptive Stream Processing on Edge Devices through Active Inference
by: Sedlak, Boris, et al.
Published: (2024)
by: Sedlak, Boris, et al.
Published: (2024)
Learning the Optimal Path and DNN Partition for Collaborative Edge Inference
by: Huang, Yin, et al.
Published: (2024)
by: Huang, Yin, et al.
Published: (2024)
Distributed Convolutional Neural Network Training on Mobile and Edge Clusters
by: Rama, Pranav, et al.
Published: (2024)
by: Rama, Pranav, et al.
Published: (2024)
Edge-Based Speech Transcription and Synthesis for Kinyarwanda and Swahili Languages
by: Mbonimpa, Pacome Simon, et al.
Published: (2025)
by: Mbonimpa, Pacome Simon, et al.
Published: (2025)
Intelligent Orchestration of Distributed Large Foundation Model Inference at the Edge
by: Koch, Fernando, et al.
Published: (2025)
by: Koch, Fernando, et al.
Published: (2025)
Robust Federated Learning against Model Perturbation in Edge Networks
by: Jin, Dongzi, et al.
Published: (2025)
by: Jin, Dongzi, et al.
Published: (2025)
AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence
by: Cai, Zhijie, et al.
Published: (2025)
by: Cai, Zhijie, et al.
Published: (2025)
Similar Items
-
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning
by: Elmahallawy, Mohamed, et al.
Published: (2024) -
Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing
by: Liu, Jiagang, et al.
Published: (2023) -
ADAPT: A Self-Calibrating Proactive Autoscaler for Container Orchestration
by: Baghel, Himanshu Singh
Published: (2026) -
Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement
by: Makris, Antonios, et al.
Published: (2024) -
Nexus:Proactive Intra-GPU Disaggregation of Prefill and Decode in LLM Serving
by: Shi, Xiaoxiang, et al.
Published: (2025)