Suchergebnisse - Semi-asynchronous distributed algorithm~

Semi-asynchronous and distributed weighted connected dominating set algorithms for wireless sensor networks von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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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SACW: Semi-Asynchronous Federated Learning with Client Selection and Adaptive Weighting von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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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