Incommensurate
发表于 2025-3-26 23:49:53
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Atrium
发表于 2025-3-27 01:13:32
https://doi.org/10.1057/9780230270589ems, and the problem under study remains the problem of distributed optimization to minimize a finite sum of convex cost functions over the nodes of a network where each cost function is further considered as the average of several constituent functions. Reviewing the existing work, no method can im
善于骗人
发表于 2025-3-27 07:02:12
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装饰
发表于 2025-3-27 11:58:42
https://doi.org/10.1057/9780230270589istributed economic dispatch problem for smart grids where each node can only obtain its own locally convex objective function and the estimation of each node is restricted to coupled linear constraints and single-box constraints. In this algorithm, we assume that the communication network between t
vocation
发表于 2025-3-27 13:56:58
https://doi.org/10.1057/9780230270589mizing a sum of local convex cost functions subjected to both local interval constraints and coupling linear constraint over an undirected network. We propose a new event-triggered distributed accelerated primal–dual algorithm, ET-DAPDA, that achieves a reduction in computation and interaction to so
尖
发表于 2025-3-27 20:05:33
https://doi.org/10.1057/9780230270589ted network, while considering the problem of how to preserve the privacy of their local cost functions. The main goal of this set of nodes is to cooperatively minimize the sum of all locally known convex cost functions (global cost function). We propose a differentially private distributed stochast
Mechanics
发表于 2025-3-28 01:50:03
Accelerated Algorithms for Distributed Convex Optimization, obeying the network connectivity structure, and the principal target of these problems is to minimize the global cost function (formulated by the average of all local cost functions). Most of the existing methods, such as the push-sum strategy, have eliminated the unbalancedness caused by directed
昏睡中
发表于 2025-3-28 05:00:33
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严厉谴责
发表于 2025-3-28 07:40:24
Proximal Algorithms for Distributed Coupled Optimization, of several constituent functions, and the network aims to minimize a finite sum of all local functions plus a coupling function (possibly non-smooth). Due to its benefits in scalability, robustness, and flexibility, distributed optimization has been a significant focus in engineering research to ta
打折
发表于 2025-3-28 13:59:13
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