Saved in:
| Main Authors: | Mujtaba, Ahmed, Radchenko, Gleb, Masana, Marc, Prodan, Radu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.19480 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
YawDD+: Frame-level Annotations for Accurate Yawn Prediction
by: Mujtaba, Ahmed, et al.
Published: (2025)
by: Mujtaba, Ahmed, et al.
Published: (2025)
SCAREY: Location-Aware Service Lifecycle Management
by: Horvath, Kurt, et al.
Published: (2025)
by: Horvath, Kurt, et al.
Published: (2025)
ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction
by: Mehran, Narges, et al.
Published: (2025)
by: Mehran, Narges, et al.
Published: (2025)
Toward Sustainability-Aware LLM Inference on Edge Clusters
by: Rajashekar, Kolichala, et al.
Published: (2025)
by: Rajashekar, Kolichala, et al.
Published: (2025)
Enhancing Traffic Safety with AI and 6G: Latency Requirements and Real-Time Threat Detection
by: Horvath, Kurt, et al.
Published: (2025)
by: Horvath, Kurt, et al.
Published: (2025)
ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters
by: Farahani, Reza, et al.
Published: (2026)
by: Farahani, Reza, et al.
Published: (2026)
EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning
by: Wu, Di, et al.
Published: (2023)
by: Wu, Di, et al.
Published: (2023)
FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding
by: Yan, Peishen, et al.
Published: (2024)
by: Yan, Peishen, et al.
Published: (2024)
Serverless Everywhere: A Comparative Analysis of WebAssembly Workflows Across Browser, Edge, and Cloud
by: Colosi, Mario, et al.
Published: (2025)
by: Colosi, Mario, et al.
Published: (2025)
Scheduling of Distributed Applications on the Computing Continuum: A Survey
by: Mehran, Narges, et al.
Published: (2024)
by: Mehran, Narges, et al.
Published: (2024)
FedRandom: Sampling Consistent and Accurate Contribution Values in Federated Learning
by: Geimer, Arno, et al.
Published: (2026)
by: Geimer, Arno, et al.
Published: (2026)
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices
by: Radchenko, Gleb, et al.
Published: (2024)
by: Radchenko, Gleb, et al.
Published: (2024)
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
by: Wilkins, Grant, et al.
Published: (2023)
by: Wilkins, Grant, et al.
Published: (2023)
EnFed: An Energy-aware Federated Learning in Resource Constrained Environments for Human Activity Recognition
by: Mukherjee, Anwesha, et al.
Published: (2024)
by: Mukherjee, Anwesha, et al.
Published: (2024)
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
by: Khare, Alind, et al.
Published: (2023)
by: Khare, Alind, et al.
Published: (2023)
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
by: Li, Shiwei, et al.
Published: (2024)
by: Li, Shiwei, et al.
Published: (2024)
FedFog: Resource-Aware Federated Learning in Edge and Fog Networks
by: Sobati-M, Somayeh
Published: (2025)
by: Sobati-M, Somayeh
Published: (2025)
FedSem: A Resource Allocation Scheme for Federated Learning Assisted Semantic Communication
by: Zhou, Xinyu, et al.
Published: (2025)
by: Zhou, Xinyu, et al.
Published: (2025)
FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks
by: Liu, Zhuocheng, et al.
Published: (2025)
by: Liu, Zhuocheng, et al.
Published: (2025)
FedBiF: Communication-Efficient Federated Learning via Bits Freezing
by: Li, Shiwei, et al.
Published: (2025)
by: Li, Shiwei, 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)
Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
by: Colosi, Mario, et al.
Published: (2025)
by: Colosi, Mario, et al.
Published: (2025)
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm
by: Elbakary, Ahmed, et al.
Published: (2024)
by: Elbakary, Ahmed, et al.
Published: (2024)
VDKMS: Vehicular Decentralized Key Management System for Cellular Vehicular-to-Everything Networks, A Blockchain-Based Approach
by: Yao, Wei, et al.
Published: (2023)
by: Yao, Wei, et al.
Published: (2023)
Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks
by: Ding, Yahao, et al.
Published: (2026)
by: Ding, Yahao, et al.
Published: (2026)
FedFQ: Federated Learning with Fine-Grained Quantization
by: Li, Haowei, et al.
Published: (2024)
by: Li, Haowei, et al.
Published: (2024)
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning
by: Han, Pengchao, et al.
Published: (2023)
by: Han, Pengchao, et al.
Published: (2023)
Enabling Seamless Data Security, Consensus, and Trading in Vehicular Networks
by: Vieira, Emanuel, et al.
Published: (2024)
by: Vieira, Emanuel, et al.
Published: (2024)
FedOptimus: Optimizing Vertical Federated Learning for Scalability and Efficiency
by: Shrivastava, Nikita, et al.
Published: (2025)
by: Shrivastava, Nikita, et al.
Published: (2025)
Efficient Profit Maximization in Reliability Concerned Static Vehicular Cloud System
by: Sarkar, Suvarthi, et al.
Published: (2023)
by: Sarkar, Suvarthi, et al.
Published: (2023)
Split Federated Learning Empowered Vehicular Edge Intelligence: Concept, Adaptive Design and Future Directions
by: Qiang, Xianke, et al.
Published: (2024)
by: Qiang, Xianke, et al.
Published: (2024)
LCI: a Lightweight Communication Interface for Efficient Asynchronous Multithreaded Communication
by: Yan, Jiakun, et al.
Published: (2025)
by: Yan, Jiakun, et al.
Published: (2025)
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization
by: Perazzone, Jake B., et al.
Published: (2025)
by: Perazzone, Jake B., et al.
Published: (2025)
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
by: Mora, Alessio, et al.
Published: (2024)
by: Mora, Alessio, et al.
Published: (2024)
FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
by: Sinha, Aditya, et al.
Published: (2025)
by: Sinha, Aditya, et al.
Published: (2025)
AIGC-assisted Federated Learning for Vehicular Edge Intelligence: Vehicle Selection, Resource Allocation and Model Augmentation
by: Qiang, Xianke, et al.
Published: (2025)
by: Qiang, Xianke, et al.
Published: (2025)
Efficient Scheduling of Vehicular Tasks on Edge Systems with Green Energy and Battery Storage
by: Sarkar, Suvarthi, et al.
Published: (2024)
by: Sarkar, Suvarthi, et al.
Published: (2024)
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler
by: Li, Zilinghan, et al.
Published: (2023)
by: Li, Zilinghan, et al.
Published: (2023)
FedHFT: Efficient Federated Finetuning with Heterogeneous Edge Clients
by: Ilhan, Fatih, et al.
Published: (2025)
by: Ilhan, Fatih, et al.
Published: (2025)
Similar Items
-
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
by: Mujtaba, Ahmed, et al.
Published: (2025) -
YawDD+: Frame-level Annotations for Accurate Yawn Prediction
by: Mujtaba, Ahmed, et al.
Published: (2025) -
SCAREY: Location-Aware Service Lifecycle Management
by: Horvath, Kurt, et al.
Published: (2025) -
ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction
by: Mehran, Narges, et al.
Published: (2025) -
Toward Sustainability-Aware LLM Inference on Edge Clusters
by: Rajashekar, Kolichala, et al.
Published: (2025)