Search Results - Semi-asynchronous distributed algorithm

Semi-asynchronous and distributed weighted connected dominating set algorithms for wireless sensor networks by 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 by 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 by 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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FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing by 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 by 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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FRCR:Raft consensus scheme based on semi asynchronous federal reconstruction by 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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Semi-Asynchronous Federated Split Learning for Computing-Limited Devices in Wireless Networks by 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 by 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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Semi-Asynchronous Over-the-Air Federated Learning Over Heterogeneous Edge Devices by 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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"Semi-Asynchronous": A New Scheduler in Distributed Computing by 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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SACW: Semi-Asynchronous Federated Learning with Client Selection and Adaptive Weighting by 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 by 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 by 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 by 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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Hermes: Fast Semi-Asynchronous Federated Learning in LEO Constellations by 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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Cluster-Based Device Scheduling Design for Semi-Asynchronous Federated Learning in Mobile Edge Computing Networks by 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 by 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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Intelligent hierarchical federated learning system based on semi-asynchronous and scheduled synchronous control strategies in satellite network by 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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"Semi-Asynchronous": A New Scheduler for Robot Based Computing Systems by Cicerone, Serafino, Di Stefano, Gabriele, Navarra, Alfredo

“… In each cycle, a robot takes a snapshot of the environment (Look phase), then executes a distributed algorithm on the basis of the obtained snapshot (Compute phase…”
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DSA: Distributed Semi-Asynchronous Sleep Scheduling Protocol for Mobile Wireless Networks by Bong Jun Choi, Xuemin Shen

“… Fortunately, some level of clock synchronization is possible among nodes. In this paper, we propose a distributed semi-asynchronous sleep scheduling protocol (DSA…”
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