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检索条件"任意字段=21st International Conference on Distributed Computing and Networking, ICDCN 2020"

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Proceedings of the 21st international conference on distributed computing and networking, icdcn 2020

Proceedings of the 21st International Conference on Distribu...

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21st international conference on distributed computing and networking, icdcn 2020

ISBN: (纸本)9781450377515

The proceedings contain 64 papers. The topics discussed include: range-free localization algorithms with mobile anchors at different altitudes: a comparative study;latecomers help to meet: deterministic anonymous gathering in the plane;on the energy in displacement of random sensors for connectivity and interference;an efficient clustering based data collection using mobile sink in wireless sensor networks;attack resistant leader election in social overlay networks by leveraging local voting;a scalable algorithm for multiparty interactive communication with private channels;SearchCom: vehicular cloud-based secure and energy-efficient communication and searching system for smart transportation;optimal patrolling of high priority segments while visiting the unit interval with a set of mobile robots;GraphTM: an efficient framework for supporting transactional memory in a distributed environment;dispersion of mobile robots in the global communication model;and a bounding box overlay for competitive routing in hybrid communication networks.

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Proceedings - 2021 21st ACIS international Semi-Virtual Winter conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing, SNPD-Winter 2021

Proceedings - 2021 21st ACIS International Semi-Virtual Wint...

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21st ACIS international Semi-Virtual Winter conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing, SNPD-Winter 2021

ISBN: (纸本)9780738125510

The proceedings contain 68 papers. The topics discussed include: study on the relation between image recognition and art counsel using deep learning;changes in marketing brought by AI;the impact of capital structure on the profitability efficiency of ICT firms;a study on the change in service quality in the era of the 4th industrial revolution compared to the existing service quality evaluation;a deep learning approach for human face sentiment classification;development of craft copyright industry using blockchain technology;the design of industrial security tasks and capabilities required in industrial site;research and implementation of image recognition of tea based on deep learning;and the effects of local culture experience on revisit intention.

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21st international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2020

21st International Conference on Parallel and Distributed Co...

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21st international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2020

ISBN: (纸本)9783030692438

The proceedings contain 35 papers. The special focus in this conference is on Parallel and distributed computing, Applications, and Technologies. The topics include: On the Non-ergodic Convergence Rate of the Directed Nonsmooth Composite Optimization;6D Pose Estimation Based on the Adaptive Weight of RGB-D Feature;blockchain-Based Secure Outsourcing of Fully Homomorphic Encryption Using Hidden Ideal Lattice;multiple Projections Learning for Dimensional Reduction;Preventing DDoS Attacks on Bitcoin Memory Pool by the Dynamic Fee Threshold Mechanism;The Compiler of DFC: A Source Code Converter that Transform the Dataflow Code to the Multi-threaded C Code;online Learning-Based Co-task Dispatching with Function Configuration in Edge computing;System-Level FPGA Routing for Logic Verification with Time-Division Multiplexing;protein Interresidue Contact Prediction Based on Deep Learning and Massive Features from Multi-sequence Alignment;heterogeneous Software Effort Estimation via Cascaded Adversarial Auto-Encoder;see Fine Color from the Rough Black-and-White;data Aggregation Aware Routing for distributed Training;a New Integer Programming Model for the File Transfer Scheduling Problem;approximation Algorithms for the General Cluster Routing Problem;maximizing Group Coverage in Social Networks;lightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification;the Hybrid Navigation Method in Face of Dynamic Obstacles;a Relaxed Balanced Lock-Free Binary Search Tree;A Dynamic Parameter Tuning Method for High Performance SpMM;data Caching Based Transfer Optimization in Large Scale Networks;a Novel distributed Reinforcement Learning Method for Classical Chinese Poetry Generation;second-Order Convolutional Neural Network Based on Cholesky Compression strategy;submodular Maximization with Bounded Marginal Values;the Prize-Collecting k-steiner Tree Problem.

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Dynamic Programming for Training DNN in distributed computing 21st

Dynamic Programming for Training DNN in Distributed Computin...

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21st international Symposium on distributed computing and Artificial Intelligence

作者： Cabello, Julia Garcia Carbo-Garcia, S. Univ Granada Andalusian Res Inst Data Sci & Computat Intellige Dept Appl Math Granada Spain Univ Granada Andalusian Res Inst Data Sci & Computat Intellige Dept Comp Sci & Artificial Intelligence Granada Spain

ISBN: (纸本)9783031820724;9783031820731

In recent years, the architecture and structure of Deep Neural Networks (DNNs) have become progressively more complex in order to respond to the increasing complexity of real problems. A strategy to deal with this complexity when it affects training would be to partition DNN training in some way: for example, by distributing it among different components of a computer network. For this, training (which is in essence the minimization of the loss function) should be performed through separated "smaller pieces". This paper offers an alternative to the gradient-based DNN training from a Dynamic Programming (DP) point of view (DP is an optimisation methodology supported by the division of a complex problem into many problems of lower complexity). To do so, conditions which enable the DNN minimization algorithm to be solved under a DP perspective are studied here. In this line, in this work is proved that any artificial neural network ANN (and thus also DNNs) with monotonic activation is separable. Furthermore, whenever ANNs are considered as a dynamical system in the form of a network (known as coupled cell networks CCNs), we show that the transmission function is a separable function assuming that the activation is non-decreasing.

关键词： Dynamic Programming Separable function DNN training

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Optimal Dispersion in Triangular Grids: Achieving Efficiency Without Prior Knowledge 21st

Optimal Dispersion in Triangular Grids: Achieving Efficiency...

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21st international conference on distributed computing and Intelligent Technology

作者： Pandit, Himani Pandit, Supantha Dhirubhai Ambani Inst Informat & Commun Technol Gandhinagar Gujarat India

ISBN: (纸本)9783031814037;9783031814044

In the dispersion problem, a group of k <= n mobile robots, initially placed on the vertices of an anonymous graph G with n vertices, must redistribute themselves so that each vertex hosts no more than one robot. We address this challenge on an anonymous triangular grid graph, where each vertex can connect to up to six adjacent vertices. We propose a distributed deterministic algorithm that achieves dispersion on an unoriented triangular grid graph in O(root n) time, where n is the number of vertices. Each robot requires O(log n) bits of memory. The time complexity of our algorithm and the memory usage per robot are optimal. This work builds on previous studies by Kshemkalyani et al. [WALCOM 2020 [17]] and Banerjee et al. [ALGOWIN 2024 [3]]. Importantly, our algorithm terminates without requiring prior knowledge of n and resolves a question posed by Banerjee et al. [ALGOWIN 2024 [3]].

关键词： distributed algorithms Mobile robots Dispersion Triangular grid Deterministic algorithms

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Mobile Agents on Chordal Graphs: Maximum Independent Set and Beyond 21st

Mobile Agents on Chordal Graphs: Maximum Independent Set and...

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21st international conference on distributed computing and Intelligent Technology

作者： Kaur, Tanvir Paul, Kaustav Mondal, Kaushik Indian Inst Thelmol Ropar Rupnagar Punjab India

ISBN: (纸本)9783031814037;9783031814044

We consider the problem of finding a maximum independent set (MaxIS) of chordal graphs using mobile agents. Suppose n agents are initially placed arbitrarily on the nodes of an n-node chordal graph G = (V, E). Agents need to find a maximum independent set M of G such that each node of M is occupied by at least one agent. Also, each of the n agents must know whether its occupied node is a part of M or not. starting from both rooted and arbitrary initial configuration, we provide distributed algorithms for n mobile agents having O(log n) memory each to compute the MaxIS of G in O(mnlog Delta) time, where m denotes the number of edges in G and Delta is the maximum degree of the graph. Agents do not need prior knowledge of any parameters if the initial configuration is rooted. For arbitrary initial configuration, agents need to know few global parameters beforehand. We further show that using a similar approach it is possible to find the maximum clique in chordal graphs and color any chordal graph with the minimum number of colors. We also provide a dynamic programming-based approach to solve the MaxIS finding problem in trees in O(n) time.

关键词： Mobile agents Maximum Independent Set distributed algorithms Deterministic algorithms

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Proceedings - 2023 IEEE international conference on Parallel and distributed Processing with Applications, Big Data and Cloud computing, Sustainable computing and Communications, Social computing and networking, ISPA/BDCloud/SocialCom/SustainCom 2023

Proceedings - 2023 IEEE International Conference on Parallel...

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21st IEEE international Symposium on Parallel and distributed Processing with Applications, 13th IEEE international conference on Big Data and Cloud computing, 16th IEEE international conference on Social computing and networking and 13th international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

ISBN: (纸本)9798350329223

The proceedings contain 153 papers. The topics discussed include: transaction data management optimization based on multi-partitioning in blockchain systems;semi-asynchronous federated learning optimized for NON-IID data communication based on tensor decomposition;HKTGNN: hierarchical knowledge transferable graph neural network-based supply chain risk assessment;DQR-TTS: semi-supervised text-to-speech synthesis with dynamic quantized representation;deep reinforcement learning-based network moving target defense in DPDK;iNUMAlloc: towards intelligent memory allocation for AI accelerators with NUMA;and predictive queue-based low latency congestion detection in data center networks.

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Workshops held at the 26th international conference on Parallel and distributed computing, Euro-Par 2020

Workshops held at the 26th International Conference on Paral...

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Workshops held at the 26th international conference on Parallel and distributed computing, Euro-Par 2020

ISBN: (纸本)9783030715922

The proceedings contain 27 papers. The special focus in this conference is on Parallel and distributed computing. The topics include: Parallelization of the k-means Algorithm in a Spectral Clustering Chain on CPU-GPU Platforms;Management of Heterogeneous Cloud Resources with Use of the PPO;An Open-Source Virtualization Layer for CUDA Applications;high Performance Portable Solver for Tridiagonal Toeplitz Systems of Linear Equations;highPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids;Implementation and Evaluation of CUDA-Unified Memory in Numba;Performance Evaluation of Java/PCJ Implementation of Parallel Algorithms on the Cloud;parallelizing Automatic Temporal Cognitive Tool for Large-Scale Online Learning Analytics;Experiments Using a Software-distributed Shared Memory, MPI and 0MQ over Heterogeneous computing Resources;ants-Review: A Privacy-Oriented Protocol for Incentivized Open Peer Reviews on Ethereum;on the Provenance Extraction Techniques from Large Scale Log Files: A Case study for the Numerical Weather Prediction Models;Improving Existing WMS for Reduced Makespan of Workflows with Lambda;predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks;On the Detection of Silent Data Corruptions in HPC Applications Using Redundant Multi-threading;analysis of Genome Architecture Mapping Data with a Machine Learning and Polymer-Physics-Based Tool;A New Parallel Methodology for the Network Analysis of COVID-19 Data;next Generation Blockchain-Based Financial Services;a Digital Voting System for the 21st Century;trustless, Censorship-Resilient and Scalable Votings in the Permission-Based Blockchain Model;p2T: Pay to Transport;Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs.

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distributed routing for underwater wireless sensor networks using cuckoo search-ant colony optimization 20

Distributed routing for underwater wireless sensor networks ...

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21st international conference on distributed computing and networking (icdcn)

作者： Mahato, Dharmendra Prasad Sandhu, Jasminder Kaur Gitanshu Dutta, Kamlesh Natl Inst Technol Hamirpur Hamirpur Himachal Prades India Chitkara Univ Inst Engn & Technol Chandigarh Punjab India Career Point Univ Kota Rajsthan India

ISBN: (纸本)9781450377515

Underwater sensor network is a promising networking technique. Several challenges such as dynamic structure, high rates of energy consumption, long propagation delay, and narrow bandwidth are being faced by underwater sensor networks. The traditional routing approaches never give reliable and expected performance. This paper presents a novel routing algorithm to tackle acoustic transmission problems in underwater. The proposed algorithm is based on cuckoo search and ant colony optimization.

关键词： Underwater Sensor Networks Routing Cuckoo Search Ant Colony Optimization

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A study of approximation in a collaborative multi-agent system 20

A study of approximation in a collaborative multi-agent syst...

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21st international conference on distributed computing and networking (icdcn)

作者： Barua, Hrishav Bakul Paul, Himadri Sekhar Sarkar, Chayan Banerjee, Ansuman TCS Res & Innovat Kolkata India Indian Stat Inst Kolkata India

ISBN: (纸本)9781450377515

The effect of approximation has been well studied in stand-alone systems. However, the problem of approximation in a collaborative system has not been studied, to the best of our knowledge. The basic goal of this article is to study the applicability of approximation in collaborative SLAM (simultaneous localization and mapping). Our experiments suggest that it is not trivial to combine multiple standalone approximate results to achieve a collaborative approximation, i.e., the resultant error can not be bounded without special effort. Thus, we present a model of the problem and empirically show that such a model can be used to explain the error variance in a collaborative system.

关键词： collaborative slam multi-agent system approximate computing

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