Results 31 to 40 of about 12,182 (176)

Mobility-Aware Traffic Offloading via Cooperative Coded Edge Caching

IEEE Access, 2020
With caching popular contents at the small-cell base stations (SBSs), cooperative edge caching has emerged as an effective approach to offload explosively increasing network traffic from a massive number of users in mobile edge networks (MENs).
Dewang Ren, Xiaolin Gui, Kaiyuan Zhang, Jie Wu   +3 more
doaj   +1 more source

Streaming Algorithms for News and Scientific Literature Recommendation: Monotone Submodular Maximization With a $d$ -Knapsack Constraint

IEEE Access, 2018
Submodular optimization plays a significant role in combinatorial problems, since it captures the structure of the edge cuts in graphs, the coverage of sets, and so on. Many data mining and machine learning problems can be cast as submodular maximization
Qilian Yu, Li Xu, Shuguang Cui
doaj   +1 more source

Approximation Algorithm for the Single Machine Scheduling Problem with Release Dates and Submodular Rejection Penalty

Mathematics, 2020
In this paper, we consider the single machine scheduling problem with release dates and nonmonotone submodular rejection penalty. We are given a single machine and multiple jobs with probably different release dates and processing times. For each job, it
Xiaofei Liu, Weidong Li
doaj   +1 more source

A Truthful Reverse Auction Mechanism for Federated Learning Utility Maximization Resource Allocation in Edge–Cloud Collaboration

Mathematics, 2023
Federated learning is a promising technique in cloud computing and edge computing environments, and designing a reasonable resource allocation scheme for federated learning is particularly important.
Linjie Liu, Jixian Zhang, Zhemin Wang, Jia Xu   +3 more
doaj   +1 more source

Differentially Private Decomposable Submodular Maximization

, 2020
We study the problem of differentially private constrained maximization of decomposable submodular functions. A submodular function is decomposable if it takes the form of a sum of submodular functions.
Chaturvedi, Anamay, Nguyen, Huy, Zakynthinou, Lydia   +2 more
core   +2 more sources

Robust monotone submodular function maximization [PDF]

Mathematical Programming, 2016
Preliminary version in IPCO ...
James B. Orlin, Andreas S. Schulz, Rajan Udwani   +2 more
openaire   +7 more sources

Constrained robust submodular sensor selection with application to multistatic sonar arrays

IET Radar, Sonar & Navigation, 2017
The authors develop a framework to select a subset of sensors from a field in which the sensors have an ingrained independence structure. Given an arbitrary independence pattern, the authors construct a graph that denotes pairwise independence between ...
Thomas Powers, David W. Krout, Jeff Bilmes, Les Atlas   +3 more
doaj   +1 more source

Submodular Optimization Approach for Entity Summarization in Knowledge Graph Driven by Large Language Models [PDF]

Jisuanji kexue yu tansuo
The continuous expansion of the knowledge graph has made entity summarization a research hotspot. The goal of entity summarization is to obtain a brief description of an entity from large-scale triple-structured facts that describe it.
ZHANG Qi, ZHONG Hao
doaj   +1 more source

Fast and exact search for the partition with minimal information loss. [PDF]

PLoS ONE, 2018
In analysis of multi-component complex systems, such as neural systems, identifying groups of units that share similar functionality will aid understanding of the underlying structures of the system.
Shohei Hidaka, Masafumi Oizumi
doaj   +1 more source

Greedy Sensor Selection for Weighted Linear Least Squares Estimation Under Correlated Noise

IEEE Access, 2022
Optimization of sensor selection has been studied to monitor complex and large-scale systems with data-driven linear reduced-order modeling. An algorithm for greedy sensor selection is presented under the assumption of correlated noise in the sensor ...
Keigo Yamada, Yuji Saito, Taku Nonomura, Keisuke Asai   +3 more
doaj   +1 more source