Inference Load-Aware Orchestration for Hierarchical Federated Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Lackinger, Anna, Frangoudis, Pantelis A., Čilić, Ivan, Furutanpey, Alireza, Murturi, Ilir, Žarko, Ivana Podnar, Dustdar, Schahram |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget
por: Čilić, Ivan, et al.
Publicado: (2024)
por: Čilić, Ivan, et al.
Publicado: (2024)
QoS-Aware Load Balancing in the Computing Continuum via Multi-Player Bandits
por: Čilić, Ivan, et al.
Publicado: (2025)
por: Čilić, Ivan, et al.
Publicado: (2025)
QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum
por: Čilić, Ivan, et al.
Publicado: (2024)
por: Čilić, Ivan, et al.
Publicado: (2024)
BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services
por: Lackinger, Anna, et al.
Publicado: (2025)
por: Lackinger, Anna, et al.
Publicado: (2025)
Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
por: Furutanpey, Alireza, et al.
Publicado: (2025)
por: Furutanpey, Alireza, et al.
Publicado: (2025)
A Multidimensional Elasticity Framework for Adaptive Data Analytics Management in the Computing Continuum
por: Laso, Sergio, et al.
Publicado: (2025)
por: Laso, Sergio, et al.
Publicado: (2025)
ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters
por: Farahani, Reza, et al.
Publicado: (2026)
por: Farahani, Reza, et al.
Publicado: (2026)
CommunityAI: Towards Community-based Federated Learning
por: Murturi, Ilir, et al.
Publicado: (2023)
por: Murturi, Ilir, et al.
Publicado: (2023)
Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication
por: Furutanpey, Alireza, et al.
Publicado: (2024)
por: Furutanpey, Alireza, et al.
Publicado: (2024)
Synergizing Monetization, Orchestration, and Semantics in Computing Continuum
por: Dehury, Chinmaya Kumar, et al.
Publicado: (2025)
por: Dehury, Chinmaya Kumar, et al.
Publicado: (2025)
A Conflict-Aware Resource Management Framework for the Computing Continuum
por: Popescu-Vifor, Vlad, et al.
Publicado: (2025)
por: Popescu-Vifor, Vlad, et al.
Publicado: (2025)
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
por: Danilenka, Anastasiya, et al.
Publicado: (2024)
por: Danilenka, Anastasiya, et al.
Publicado: (2024)
Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams
por: Guan, Jinglong, et al.
Publicado: (2023)
por: Guan, Jinglong, et al.
Publicado: (2023)
RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms
por: Loisel, Filip, et al.
Publicado: (2024)
por: Loisel, Filip, et al.
Publicado: (2024)
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge Computing
por: Furutanpey, Alireza, et al.
Publicado: (2023)
por: Furutanpey, Alireza, et al.
Publicado: (2023)
Orchestrating Serverless Applications in the Edge Cloud Space Continuum: What Breaks and What is Next?
por: Malazi, Hadi Tabatabaee, et al.
Publicado: (2026)
por: Malazi, Hadi Tabatabaee, et al.
Publicado: (2026)
Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods
por: Sedlak, Boris, et al.
Publicado: (2025)
por: Sedlak, Boris, et al.
Publicado: (2025)
Active Inference-Based Adaptive Routing for Heterogeneous Edge AI Services
por: Wang, Zihang, et al.
Publicado: (2026)
por: Wang, Zihang, et al.
Publicado: (2026)
Adaptive Graph Pruning with Sudden-Events Evaluation for Traffic Prediction using Online Semi-Decentralized ST-GNNs
por: Kralj, Ivan, et al.
Publicado: (2025)
por: Kralj, Ivan, et al.
Publicado: (2025)
Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction
por: Kralj, Ivan, et al.
Publicado: (2024)
por: Kralj, Ivan, et al.
Publicado: (2024)
Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum
por: Morichetta, Andrea, et al.
Publicado: (2025)
por: Morichetta, Andrea, et al.
Publicado: (2025)
SLO-Aware Task Offloading within Collaborative Vehicle Platoons
por: Sedlak, Boris, et al.
Publicado: (2024)
por: Sedlak, Boris, et al.
Publicado: (2024)
Adaptive Stream Processing on Edge Devices through Active Inference
por: Sedlak, Boris, et al.
Publicado: (2024)
por: Sedlak, Boris, et al.
Publicado: (2024)
Visual Insights into Agentic Optimization of Pervasive Stream Processing Services
por: Sedlak, Boris, et al.
Publicado: (2026)
por: Sedlak, Boris, et al.
Publicado: (2026)
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
por: Furutanpey, Alireza, et al.
Publicado: (2024)
por: Furutanpey, Alireza, et al.
Publicado: (2024)
Distributed Intelligence in the Computing Continuum with Active Inference
por: Pujol, Victor Casamayor, et al.
Publicado: (2025)
por: Pujol, Victor Casamayor, et al.
Publicado: (2025)
Service Orchestration in the Computing Continuum: Structural Challenges and Vision
por: Sedlak, Boris, et al.
Publicado: (2026)
por: Sedlak, Boris, et al.
Publicado: (2026)
Towards Formal Verification of Federated Learning Orchestration Protocols on Satellites
por: Popovic, Miroslav, et al.
Publicado: (2024)
por: Popovic, Miroslav, et al.
Publicado: (2024)
Resilient by Design -- Active Inference for Distributed Continuum Intelligence
por: Donta, Praveen Kumar, et al.
Publicado: (2025)
por: Donta, Praveen Kumar, et al.
Publicado: (2025)
Distributed Load Orchestration for Vision Computing in Multi-Access Edge Computing
por: Boing, Ricardo N., et al.
Publicado: (2022)
por: Boing, Ricardo N., et al.
Publicado: (2022)
Equilibrium in the Computing Continuum through Active Inference
por: Sedlak, Boris, et al.
Publicado: (2023)
por: Sedlak, Boris, et al.
Publicado: (2023)
SkyWalker: A Locality-Aware Cross-Region Load Balancer for LLM Inference
por: Xia, Tian, et al.
Publicado: (2025)
por: Xia, Tian, et al.
Publicado: (2025)
DRDST: Low-latency DAG Consensus through Robust Dynamic Sharding and Tree-broadcasting for IoV
por: Chen, Runhua, et al.
Publicado: (2024)
por: Chen, Runhua, et al.
Publicado: (2024)
Towards Carbon-Aware Container Orchestration: Predicting Workload Energy Consumption with Federated Learning
por: Saad, Zainab, et al.
Publicado: (2025)
por: Saad, Zainab, et al.
Publicado: (2025)
Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover
por: Han, Dong-Jun, et al.
Publicado: (2024)
por: Han, Dong-Jun, et al.
Publicado: (2024)
Sutradhara: An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference
por: Biswas, Anish, et al.
Publicado: (2026)
por: Biswas, Anish, et al.
Publicado: (2026)
QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
por: Aslan, Haci Ismail, et al.
Publicado: (2025)
por: Aslan, Haci Ismail, et al.
Publicado: (2025)
On Resilient and Efficient Linear Secure Aggregation in Hierarchical Federated Learning
por: Weng, Shudi, et al.
Publicado: (2026)
por: Weng, Shudi, et al.
Publicado: (2026)
FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
por: Sinha, Aditya, et al.
Publicado: (2025)
por: Sinha, Aditya, et al.
Publicado: (2025)
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
por: Gao, Wentao, et al.
Publicado: (2024)
por: Gao, Wentao, et al.
Publicado: (2024)
Ejemplares similares
-
Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget
por: Čilić, Ivan, et al.
Publicado: (2024) -
QoS-Aware Load Balancing in the Computing Continuum via Multi-Player Bandits
por: Čilić, Ivan, et al.
Publicado: (2025) -
QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum
por: Čilić, Ivan, et al.
Publicado: (2024) -
BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services
por: Lackinger, Anna, et al.
Publicado: (2025) -
Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
por: Furutanpey, Alireza, et al.
Publicado: (2025)