Image de couverture de livre

BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lackinger, Anna, Morichetta, Andrea, Frangoudis, Pantelis A., Dustdar, Schahram
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Distributed, Parallel, and Cluster Computing Multiagent Systems
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget
par: Čilić, Ivan, et autres
Publié: (2024)

Inference Load-Aware Orchestration for Hierarchical Federated Learning
par: Lackinger, Anna, et autres
Publié: (2024)

RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms
par: Loisel, Filip, et autres
Publié: (2024)

Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
par: Furutanpey, Alireza, et autres
Publié: (2025)

QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum
par: Čilić, Ivan, et autres
Publié: (2024)

SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection
par: Heydaribeni, Nasimeh, et autres
Publié: (2023)

Distributed Intelligence in the Computing Continuum with Active Inference
par: Pujol, Victor Casamayor, et autres
Publié: (2025)

Adaptive Stream Processing on Edge Devices through Active Inference
par: Sedlak, Boris, et autres
Publié: (2024)

QoS-Aware Load Balancing in the Computing Continuum via Multi-Player Bandits
par: Čilić, Ivan, et autres
Publié: (2025)

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication
par: Furutanpey, Alireza, et autres
Publié: (2024)

Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices
par: Sedlak, Boris, et autres
Publié: (2025)

Compressed Federated Reinforcement Learning with a Generative Model
par: Beikmohammadi, Ali, et autres
Publié: (2024)

SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
par: Choudhary, Sakshi, et autres
Publié: (2024)

Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity
par: Tian, Zhuojun, et autres
Publié: (2025)

Single-Loop Federated Actor-Critic across Heterogeneous Environments
par: Zhu, Ye, et autres
Publié: (2024)

Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
par: Danilenka, Anastasiya, et autres
Publié: (2024)

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum
par: Morichetta, Andrea, et autres
Publié: (2025)

Multitask Learning with Learned Task Relationships
par: Wan, Zirui, et autres
Publié: (2025)

Asynchronous Local Computations in Distributed Bayesian Learning
par: Bhar, Kinjal, et autres
Publié: (2023)

On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning
par: Zhu, Tongtian, et autres
Publié: (2025)

Optimizing Decentralized Online Learning for Supervised Regression and Classification Problems
par: Kruijssen, J. M. Diederik, et autres
Publié: (2025)

Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels
par: Hanna, Osama A., et autres
Publié: (2023)

AGMARL-DKS: An Adaptive Graph-Enhanced Multi-Agent Reinforcement Learning for Dynamic Kubernetes Scheduling
par: Hamzeh, Hamed
Publié: (2026)

Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
par: Niu, Chaoyue, et autres
Publié: (2025)

Resilient by Design -- Active Inference for Distributed Continuum Intelligence
par: Donta, Praveen Kumar, et autres
Publié: (2025)

A Multidimensional Elasticity Framework for Adaptive Data Analytics Management in the Computing Continuum
par: Laso, Sergio, et autres
Publié: (2025)

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
par: Li, Qingbiao, et autres
Publié: (2020)

Cooperative Solutions to Exploration Tasks Under Speed and Budget Constraints
par: Karishma, et autres
Publié: (2022)

CommunityAI: Towards Community-based Federated Learning
par: Murturi, Ilir, et autres
Publié: (2023)

Incentivizing Multi-Tenant Split Federated Learning for Foundation Models at the Network Edge
par: Li, Songyuan, et autres
Publié: (2025)

A Unified Framework for Center-based Clustering of Distributed Data
par: Armacki, Aleksandar, et autres
Publié: (2024)

Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks
par: Yahya, Mariam, et autres
Publié: (2024)

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models
par: Gu, Yile, et autres
Publié: (2025)

On Collaboration in Distributed Parameter Estimation with Resource Constraints
par: Chen, Yu-Zhen Janice, et autres
Publié: (2023)

ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling
par: Zhu, Zheqi, et autres
Publié: (2022)

MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems
par: Wang, Yifei, et autres
Publié: (2026)

Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
par: Mhanna, Elissa, et autres
Publié: (2024)

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
par: Ye, Rui, et autres
Publié: (2024)

SLO-Aware Task Offloading within Collaborative Vehicle Platoons
par: Sedlak, Boris, et autres
Publié: (2024)

Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
par: Jordan, Philip, et autres
Publié: (2024)