MIDAS: Open-source framework for distributed online analysis of data streams
Sign Up to like & getrecommendations! Published in 2018 at "SoftwareX"
DOI: 10.1016/j.softx.2018.04.004
Abstract: Abstract Data streams are pervasive but implementing online analysis of streaming data is often nontrivial as data streams can have different, domain-specific formats. Regardless of the stream, the analysis task is essentially the same: features… read more here.
Keywords: data streams; midas open; online analysis; distributed online ... See more keywords
Data-Driven Distributed Online Learning Control for Islanded Microgrids
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3152938
Abstract: In this paper, a new discrete-time data-driven distributed learning control strategy for frequency/voltage regulation and active/reactive power sharing of islanded microgrids is proposed. Instead of using the static droop relationship and the conventional primary-secondary hierarchical… read more here.
Keywords: data driven; islanded microgrids; distributed online; learning control ... See more keywords
Distributed Online Energy Management in Interconnected Microgrids
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2957158
Abstract: In this article, a hierarchical online distributed algorithm (HODA) is developed to achieve optimal energy management in interconnected microgrids (IMG). The energy management objectives include maximizing users’ utility, optimizing the output power of controllable generators,… read more here.
Keywords: management interconnected; distributed online; energy; interconnected microgrids ... See more keywords
Distributed Online Resource Allocation in Open Networks
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DOI: 10.1109/tac.2024.3419818
Abstract: This article considers the problem of online resource allocation in an open network where the engaged agents are allowed to join and leave freely. To deal with network openness, each agent possesses two auxiliary variables,… read more here.
Keywords: distributed online; online resource; resource allocation; allocation open ... See more keywords
Trustworthy and Context-Aware Distributed Online Learning with Autoscaling for Content Caching in Collaborative Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3075770
Abstract: Content caching is widely recognized a promising functionality to improve service performance in mobile edge computing (MEC). In the big data era, there are massive heterogeneous contents collected by the mobile devices, belonging to different… read more here.
Keywords: aware distributed; content caching; distributed online; edge computing ... See more keywords
Distributed Online Convex Optimization on Time-Varying Directed Graphs
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2015.2505149
Abstract: This paper introduces a class of discrete-time distributed online optimization algorithms, with a group of agents whose communication topology is given by a uniformly strongly connected sequence of time-varying networks. At each time, a private… read more here.
Keywords: convex optimization; distributed online; time varying; time ... See more keywords
Distributed Online Learning for Leaderless Multicluster Games in Dynamic Environments
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DOI: 10.1109/tcns.2023.3339304
Abstract: In this article, multicluster games with coupled constraints in dynamic environments are considered. Agents are divided into disparate clusters, and each cluster can be regarded as a virtual noncooperative player competing against each other via… read more here.
Keywords: online learning; distributed online; dynamic environments; learning leaderless ... See more keywords
Distributed Online Optimization Under Dynamic Adaptive Quantization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2024.3362793
Abstract: For distributed online optimization over networked nodes, we propose an algorithm based on one-step gradient descent and multi-step consensus under dynamic adaptive quantization. We propose a dynamic difference encoding-decoding strategy with variable center quantizers and… read more here.
Keywords: adaptive quantization; distributed online; quantization; dynamic adaptive ... See more keywords
Privacy Masking Stochastic Subgradient-Push Algorithm for Distributed Online Optimization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.2973221
Abstract: This article investigates the problem of distributed online optimization for a group of units communicating on time-varying unbalanced directed networks. The main target of the set of units is to cooperatively minimize the sum of… read more here.
Keywords: optimization; distributed online; online optimization; stochastic subgradient ... See more keywords
Distributed Online Constrained Optimization With Feedback Delays.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3184957
Abstract: We investigate multiagent distributed online constrained convex optimization problems with feedback delays, where agents make sequential decisions before being aware of the cost and constraint functions. The main purpose of the distributed online constrained convex… read more here.
Keywords: problem; feedback delays; distributed online; online constrained ... See more keywords
Distributed Online Convex Optimization With Statistical Privacy
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3492144
Abstract: We focus on the problem of distributed online constrained convex optimization with statistical privacy in multiagent systems. The participating agents aim to collaboratively minimize the cumulative system-wide cost while a passive adversary corrupts some of… read more here.
Keywords: distributed online; convex optimization; statistical privacy; privacy ... See more keywords