Image de couverture de livre

Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Heqiang, Liu, Xiang, Liu, Yucheng, Zhou, Jia, Yang, Weihong, Zhong, Xiaoxiong
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Distributed, Parallel, and Cluster Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multimodal Online Federated Learning with Modality Missing in Internet of Things
par: Wang, Heqiang, et autres
Publié: (2025)

Energy-Efficient Quantized Federated Learning for Resource-constrained IoT devices
par: Compaoré, Wilfrid Sougrinoma, et autres
Publié: (2025)

Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network
par: Chu, Shunfeng, et autres
Publié: (2024)

Masked Random Noise for Communication Efficient Federated Learning
par: Li, Shiwei, et autres
Publié: (2024)

A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
par: Mahmoud, Taha M., et autres
Publié: (2025)

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems
par: Vasiljevic, Pavle, et autres
Publié: (2025)

LiFeChain: Lightweight Blockchain for Secure and Efficient Federated Lifelong Learning in IoT
par: Chen, Handi, et autres
Publié: (2025)

BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT
par: Ju, Zehao, et autres
Publié: (2024)

Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks
par: Singh, Gurpreet, et autres
Publié: (2025)

Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
par: Rangwala, Murtaza, et autres
Publié: (2025)

The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
par: Li, Shiwei, et autres
Publié: (2025)

Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT
par: Shah, Syed Sarmad, et autres
Publié: (2025)

Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
par: Zhai, Wenbin, et autres
Publié: (2023)

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
par: Li, Shiwei, et autres
Publié: (2024)

Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning
par: Yu, Chong, et autres
Publié: (2024)

Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices
par: Molina, Romina Soledad, et autres
Publié: (2025)

FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
par: Huang, Jianjun, et autres
Publié: (2024)

DeFRiS: Silo-Cooperative IoT Applications Scheduling via Decentralized Federated Reinforcement Learning
par: Wang, Zhiyu, et autres
Publié: (2026)

Communication and Computation Efficient Split Federated Learning in O-RAN
par: Gu, Shunxian, et autres
Publié: (2025)

Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
par: Ochiai, Hideya, et autres
Publié: (2024)

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
par: Han, Baofu, et autres
Publié: (2025)

A Survey on Contribution Evaluation in Vertical Federated Learning
par: Cui, Yue, et autres
Publié: (2024)

Impact Conflict Detection of IoT Services in Multi-resident Smart Homes
par: Chaki, Dipankar, et autres
Publié: (2024)

Peer-to-Peer Deep Learning for Beyond-5G IoT
par: Pranav, Srinivasa, et autres
Publié: (2023)

Efficient Location-Based Service Discovery for IoT and Edge Computing in the 6G Era
par: Horvath, Kurt, et autres
Publié: (2025)

FedBiF: Communication-Efficient Federated Learning via Bits Freezing
par: Li, Shiwei, et autres
Publié: (2025)

Energy Efficient Federated Learning with Hyperdimensional Computing (HDC)
par: Ding, Yahao, et autres
Publié: (2026)

Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks
par: Ding, Yahao, et autres
Publié: (2026)

Vertical Federated Learning Hybrid Local Pre-training
par: Li, Wenguo, et autres
Publié: (2024)

A Fair and Lightweight Consensus Algorithm for IoT
par: Vavilis, Sokratis, et autres
Publié: (2025)

Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data
par: Amalanshu, Avi, et autres
Publié: (2024)

Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT
par: Barbieri, Luca, et autres
Publié: (2024)

Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
par: Crawshaw, Michael, et autres
Publié: (2024)

Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning
par: Tang, Zichen, et autres
Publié: (2024)

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

DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations
par: Yang, Minghao, et autres
Publié: (2024)

Event-Driven Online Vertical Federated Learning
par: Wang, Ganyu, et autres
Publié: (2025)

Vertical Federated Learning: Challenges, Methodologies and Experiments
par: Wei, Kang, et autres
Publié: (2022)

A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT
par: Li, Kai, et autres
Publié: (2024)

Communication-Efficient Federated Group Distributionally Robust Optimization
par: Guo, Zhishuai, et autres
Publié: (2024)