Výsledky vyhledávání - Semi-asynchronous distributed algorithm*

Semi-asynchronous and distributed weighted connected dominating set algorithms for wireless sensor networks Autor Dagdeviren, Orhan, Erciyes, Kayhan, Tse, Savio

“… to construct a weighted connected dominating set (WCDS). We provide fully distributed algorithms with semi-asynchronous versions…”
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Privacy-aware Distributed Diagnosis of Multi-Agent Plans Autor Natan, Avraham, Kalech, Meir

“… To address this challenge, we propose Distributed Diagnosis of Multi-Agent Plans (DDMAP) algorithms, which identify faulty agents of a MAS in a distributed manner without sharing plans…”
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Semi-asynchronous routing for large scale hierarchical networks Autor Wei-Cheng Liao, Mingyi Hong, Farmanbar, Hamid, Zhi-Quan Luo

“…), and there is a central NC to coordinate the operation of the distributed NCs. We propose a semi-asynchronous routing algorithm for such a network, whereby the computation is distributed across the NCs and is parallel within each NC…”
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"Semi-Asynchronous": A New Scheduler in Distributed Computing Autor Cicerone, Serafino, Di Stefano, Gabriele, Navarra, Alfredo

“… According to the assumed synchronization model, very different results have been achieved in the field of distributed computing…”
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FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing Autor Ma, Qianpiao, Xu, Yang, Xu, Hongli, Jiang, Zhida, Huang, Liusheng, Huang, He

“… In this paper, we propose a semi-asynchronous federated learning mechanism (FedSA), where the parameter server aggregates a certain number of local models by their arrival order…”
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FedMDS: An Efficient Model Discrepancy-Aware Semi-asynchronous Clustered Federated Learning Framework Autor Zhang, Yu, Liu, Duo, Duan, Moming, Li, Li, Chen, Xianzhang, Ren, Ao, Tan, Yujuan, Wang, Chengliang

“…Federated learning (FL) is an emerging distributed machine learning paradigm that protects privacy and tackles the problem of isolated data islands…”
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Semi-Asynchronous Federated Split Learning for Computing-Limited Devices in Wireless Networks Autor Ao, Huiqing, Tian, Hui, Ni, Wanli, Nie, Gaofeng, Niyato, Dusit

“… To address this issue, we propose a semi-asynchronous FSL (SAFSL) framework that enables personalized model splitting and aperiodic model aggregation…”
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Semi-Asynchronous Model Design for Federated Learning in Mobile Edge Networks Autor Zhang, Jinfeng, Liu, Wei, He, Yejun, He, Zhou, Guizani, Mohsen

“…Federated learning (FL) is a distributed machine learning (ML). Distributed clients train locally and exclusively need to upload the model parameters to learn…”
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Complex-Structured Optimization Problems in Distributed Learning Autor Liu, Zhuqing

“… Thus, the motivation of this dissertation study is to tackle these challenges in ML. This dissertation consists of my existing papers that propose algorithm…”
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Semi-Asynchronous Over-the-Air Federated Learning Over Heterogeneous Edge Devices Autor Kou, Zhoubin, Ji, Yun, Danni, Yang, Zhang, Sheng, Zhong, Xiaoxiong

“… In this paper, we present a novel semi-asynchronous FEEL algorithm designed for application over wireless multi-access channels, particularly in scenarios involving data and devices with inherent heterogeneity…”
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FRCR:Raft consensus scheme based on semi asynchronous federal reconstruction Autor Rong, Baojun, Zheng, Zhaohui

“… We also design a semi asynchronous buffer mechanism and a strategy to resist malicious node attacks to solve the inconsistency and security problems of federation aggregation. Finally, seven aspects of FRCR are tested and analyzed to verify the effectiveness of FRCR in the consensus cluster…”
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SACW: Semi-Asynchronous Federated Learning with Client Selection and Adaptive Weighting Autor Li, Shuaifeng, Shan, Fangfang, Mao, Shiqi, Lu, Yanlong, Miao, Fengjun, Chen, Zhuo

“… To tackle these challenges, this paper proposes the SACW framework, which effectively balances training efficiency and model quality through a semi-asynchronous training mechanism…”
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Semi-Asynchronous Hierarchical Federated Learning over Mobile Edge Networks Autor Chen, Qimei, You, Zehua, Wu, Jing, Liu, Yunpeng, Jiang, Hao

“… In this paper, we propose a novel Semi-Asynchronous Hierarchical Federated Learning (SAHFL) framework for mobile edge networks that enables elastic edge to cloud model aggregation from data sensing…”
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ASR-Fed: agnostic straggler-resilient semi-asynchronous federated learning technique for secured drone network Autor Ihekoronye, Vivian Ukamaka, Nwakanma, Cosmas Ifeanyi, Kim, Dong-Seong, Lee, Jae Min

“… To address this, we present ASR-Fed, a novel agnostic straggler-resilient semi-asynchronous FL aggregating algorithm…”
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AoU-Based Local Update and User Scheduling for Semi-Asynchronous Online Federated Learning in Wireless Networks Autor Zheng, Jianing, Liu, Xiaolan, Ling, Zhuang, Hu, Fengye

“… Especially, distributed ML techniques are getting more attention to enable training ML models in a distributed manner by exploiting distributed computational resources at the network edge…”
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Distributed synchronous and asynchronous algorithms for semi-definite programming with diagonal constraints Autor Jiang, Xia, Zeng, Xianlin, Sun, Jian, Chen, Jie

“…This paper develops distributed synchronous and asynchronous algorithms for the large-scale semi-definite programming with diagonal constraints, which has wide applications in combination optimization…”
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Hermes: Fast Semi-Asynchronous Federated Learning in LEO Constellations Autor Chen, Yan, Liu, Jun, Zhao, Jiejie, Jiang, Guanjun, Wang, Haiquan, Du, Bowen

“… To this end, we propose a novel semi-asynchronous federated…”
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Intelligent hierarchical federated learning system based on semi-asynchronous and scheduled synchronous control strategies in satellite network Autor Mei, Qiang, Huang, Rui, Li, Duo, Li, Jingyi, Shi, Nan, Du, Mei, Zhong, Yingkang, Tian, Chunqi

“… To address these problems, we propose an intelligent hierarchical FL system based on semi-asynchronous and scheduled synchronous control strategies in cloud-edge-client structure for satellite network…”
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Cluster-Based Device Scheduling Design for Semi-Asynchronous Federated Learning in Mobile Edge Computing Networks Autor Zeng, Hushuang, Li, Xiuhua, Xu, Guozeng, Hao, Jinlong, Wang, Xiaofei, Leung, Victor C. M.

“… To address these challenges, we propose a Semi-Asynchronous Federated Learning (Semi-AFL) framework with cluster-based scheduling…”
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Semi-Asynchronous Federated Learning with Trajectory Prediction for Vehicular Edge Computing Autor Deng, Yuxuan, Li, Xiuhua, Sun, Chuan, Fan, Qilin, Wang, Xiaofei, Leung, Victor C. M.

“… In this paper, we propose a semi-asynchronous federated learning algorithm for VEC. Specifically, it utilizes knowledge distillation to generate soft labels from raw data…”
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