Distributed Learning Automata-based S-learning scheme for classification
Sign Up to like & getrecommendations! Published in 2019 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-019-00848-6
Abstract: This paper proposes a novel classifier based on the theory of Learning Automata (LA), reckoned to as PolyLA. The essence of our scheme is to search for a separator in the feature space by imposing… read more here.
Keywords: learning scheme; based learning; classification; learning automata ... See more keywords
Gaussian processes modifier adaptation with uncertain inputs for distributed learning and optimization of wind farms
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1833
Abstract: Abstract A modifier adaptation scheme based on Gaussian processes is presented to optimize the control inputs of a wind farm. Often an approximate model of the wind farm is available, however due to the high… read more here.
Keywords: modifier adaptation; gaussian processes; distributed learning; wind farms ... See more keywords
Loop-shaped distributed learning of an object with data-independent performance certificates
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Robotics"
DOI: 10.1080/01691864.2022.2128872
Abstract: ABSTRACT This paper addresses distributed learning of object shapes using multiple robots, and proposes a systematic design procedure for distributed optimization algorithms with data-independent performance certificates. We start with formulating the object shape learning as… read more here.
Keywords: performance certificates; learning object; data independent; independent performance ... See more keywords
Stochastic distributed learning with gradient quantization and double-variance reduction
Sign Up to like & getrecommendations! Published in 2022 at "Optimization Methods and Software"
DOI: 10.1080/10556788.2022.2117355
Abstract: ABSTRACT We consider distributed optimization over several devices, each sending incremental model updates to a central server. This setting is considered, for instance, in federated learning. Various schemes have been designed to compress the model… read more here.
Keywords: stochastic distributed; variance reduction; distributed learning; compression ... See more keywords
Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3029445
Abstract: The utility of Artificial Intelligence (AI) in healthcare strongly depends upon the quality of the data used to build models, and the confidence in the predictions they generate. Access to sufficient amounts of high-quality data… read more here.
Keywords: distrim; distributed learning; blockchain; distributed machine ... See more keywords
IoTSL: Toward Efficient Distributed Learning for Resource-Constrained Internet of Things
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3235765
Abstract: Recently proposed split learning (SL) is a promising distributed machine learning paradigm that enables machine learning without accessing the raw data of the clients. SL can be viewed as one specific type of serial federation… read more here.
Keywords: efficient distributed; constrained internet; distributed learning; internet things ... See more keywords
Hybrid Centralized and Distributed Learning for MEC-Equipped Satellite 6G Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2023.3242700
Abstract: For future networks in the 6G, it will be important to maintain a ubiquitous connection, bring processing heavy applications to remote areas, and analyze big amounts of data to efficiently provide services. To achieve such… read more here.
Keywords: equipped satellite; centralized distributed; hybrid centralized; learning mec ... 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
Communication-Efficient Distributed Learning Over Networks—Part II: Necessary Conditions for Accuracy
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2023.3242738
Abstract: Distributed learning is crucial for many applications such as localization and tracking, autonomy, and crowd sensing. This paper investigates communication-efficient distributed learning of time-varying states over networks. Specifically, the paper considers a network of nodes… read more here.
Keywords: efficient distributed; communication efficient; paper; distributed learning ... See more keywords
Distributed Q-Learning Based Joint Relay Selection and Access Control Scheme for IoT-Oriented Satellite Terrestrial Relay Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3061717
Abstract: In this letter, we propose a distributed Q-learning (DQL) based joint relay selection and access control (JRSAC) scheme for Internet of Things (IoT)-oriented satellite terrestrial relay networks (STRNs) with massive IoT devices and multiple relays.… read more here.
Keywords: distributed learning; access; scheme; relay ... See more keywords
Interaction-Based Distributed Learning in Cyber-Physical and Social Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2917715
Abstract: In this paper, we consider a network scenario in which agents can evaluate each other according to a score graph that models some physical or social interaction. The goal is to design a distributed protocol,… read more here.
Keywords: distributed learning; physical social; interaction; based distributed ... See more keywords