Communication‐efficient estimation and inference for high‐dimensional quantile regression based on smoothed decorrelated score
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9555
Abstract: Distributed estimation based on different sources of observations has drawn attention in the modern statistical learning. In practice, due to the expensive cost or time‐consuming process to collect data in some cases, the sample size… read more here.
Keywords: communication efficient; high dimensional; estimation inference; estimation ... See more keywords
A communication-efficient, online changepoint detection method for monitoring distributed sensor networks
Sign Up to like & getrecommendations! Published in 2024 at "Statistics and Computing"
DOI: 10.1007/s11222-024-10428-2
Abstract: We consider the challenge of efficiently detecting changes within a network of sensors, where we also need to minimise communication between sensors and the cloud. We propose an online, communication-efficient method to detect such changes.… read more here.
Keywords: method; efficient online; changepoint detection; communication efficient ... See more keywords
Two-stage communication-efficient distributed sparse M-estimation with missing data
Sign Up to like & getrecommendations! Published in 2023 at "Statistics"
DOI: 10.1080/02331888.2023.2201505
Abstract: Distributed estimation based on different sources of observations has drawn attention in the modern statistical learning. When the distributed data are missing at random, we propose a two-stage -penalized communication-efficient surrogate likelihood (CSL) algorithm based… read more here.
Keywords: communication efficient; two stage; missing data; sparse estimation ... See more keywords
A dynamic global backbone updating for communication-efficient personalised federated learning
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2114428
Abstract: ABSTRACT Federated learning (FL) is an emerging distributed machine learning technique. However, when dealing with heterogeneous data, a shared global model cannot generalise all devices' local data. Furthermore, the FL training process necessitates frequent parameter… read more here.
Keywords: communication efficient; efficient personalised; communication; federated learning ... See more keywords
A Layer Selection Optimizer for Communication-Efficient Decentralized Federated Deep Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3251571
Abstract: Federated Learning (FL) systems orchestrate the cooperative training of a shared Machine Learning (ML) model across connected devices. Recently, decentralized FL architectures driven by consensus have been proposed to enable the devices to share and… read more here.
Keywords: communication efficient; communication; layer selection; optimizer communication ... See more keywords
Communication-Efficient Data Aggregation Tree Construction for Complex Queries in IoT Applications
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2018.2882820
Abstract: Data aggregation is a fundamental operation in Internet of Things (IoT) applications, e.g., distributed Internet-based industrial control and computing systems. As IoT devices are increasingly connected to the system via resource-constrained wireless communication links, it… read more here.
Keywords: iot applications; complex queries; communication efficient; aggregation ... See more keywords
Communication-Efficient Offloading for Mobile-Edge Computing in 5G Heterogeneous Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3029166
Abstract: The unified management of IoT devices with interoperability can be inspired by cloud computing. In addition, sinking the 5G core network to the edge brings chances for the deployment of end-to-end ultralow-latency services. However, the… read more here.
Keywords: communication efficient; heterogeneous networks; edge computing; cloud computing ... See more keywords
Communication-Efficient Federated Multitask Learning Over Wireless Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3201310
Abstract: This article investigates the scheduling framework of the federated multitask learning (FMTL) problem with a hard-cooperation structure over wireless networks, in which the scheduling becomes more challenging due to the different convergence behaviors of different… read more here.
Keywords: wireless networks; communication efficient; communication; multitask learning ... See more keywords
Communication-Efficient Online Federated Learning Strategies for Kernel Regression
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3218484
Abstract: This article presents communication-efficient approaches to federated learning (FL) for resource-constrained devices with access to streaming data. In particular, we first propose a partial-sharing-based framework for online federated learning (PSO-Fed), wherein clients update local models… read more here.
Keywords: pso fed; communication efficient; communication; online federated ... See more keywords
FedSL: A Communication-Efficient Federated Learning With Split Layer Aggregation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3350241
Abstract: Federated learning (FL) can train a model collaboratively through multiple remote clients without sharing raw data. The challenge of federated learning (FL) is how to decrease network transmissions. This article aims to reduce network traffic… read more here.
Keywords: communication efficient; efficient federated; model; federated learning ... See more keywords
Communication-Efficient Distributed Learning: An Overview
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2023.3242710
Abstract: Distributed learning is envisioned as the bedrock of next-generation intelligent networks, where intelligent agents, such as mobile devices, robots, and sensors, exchange information with each other or a parameter server to train machine learning models… read more here.
Keywords: learning overview; communication efficient; communication; efficient distributed ... See more keywords