Výsledky vyhľadávania - Semi-asynchronous distributed algorithm
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Semi-asynchronous and distributed weighted connected dominating set algorithms for wireless sensor networks
ISSN: 0920-5489, 1872-7018Vydavateľské údaje: Elsevier B.V 01.11.2015Vydané v Computer standards and interfaces (01.11.2015)“… 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
ISSN: 0957-4174, 1873-6793Vydavateľské údaje: New York Elsevier Ltd 15.04.2022Vydané v Expert systems with applications (15.04.2022)“… 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
ISSN: 1520-6149Vydavateľské údaje: IEEE 01.04.2015Vydané v 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01.04.2015)“…), 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
ISSN: 2169-3536, 2169-3536Vydavateľské údaje: Piscataway IEEE 2021Vydané v IEEE access (2021)“… 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
ISSN: 0733-8716, 1558-0008Vydavateľské údaje: New York IEEE 01.12.2021Vydané v IEEE journal on selected areas in communications (01.12.2021)“… 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
ISSN: 1045-9219, 1558-2183Vydavateľské údaje: New York IEEE 01.03.2023Vydané v IEEE transactions on parallel and distributed systems (01.03.2023)“…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
ISSN: 1932-4537, 1932-4537Vydavateľské údaje: New York IEEE 01.12.2022Vydané v IEEE eTransactions on network and service management (01.12.2022)“… 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
ISSN: 1536-1276, 1558-2248Vydavateľské údaje: New York IEEE 01.06.2025Vydané v IEEE transactions on wireless communications (01.06.2025)“… 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
ISSN: 0018-9545, 1939-9359Vydavateľské údaje: New York IEEE 01.12.2023Vydané v IEEE transactions on vehicular technology (01.12.2023)“…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
ISSN: 0018-9545, 1939-9359Vydavateľské údaje: New York IEEE 01.01.2025Vydané v IEEE transactions on vehicular technology (01.01.2025)“… 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
ISSN: 2073-431X, 2073-431XVydavateľské údaje: Basel MDPI AG 01.11.2025Vydané v Computers (Basel) (01.11.2025)“… 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
ISSN: 2169-3536, 2169-3536Vydavateľské údaje: Piscataway IEEE 01.01.2023Vydané v IEEE access (01.01.2023)“… 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
ISSN: 1868-8071, 1868-808XVydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2024Vydané v International journal of machine learning and cybernetics (01.11.2024)“… 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
ISSN: 2327-4662, 2327-4662Vydavateľské údaje: Piscataway IEEE 15.09.2024Vydané v IEEE internet of things journal (15.09.2024)“… 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
ISSN: 1558-2612Vydavateľské údaje: IEEE 21.04.2024Vydané v IEEE Wireless Communications and Networking Conference : [proceedings] : WCNC (21.04.2024)“… 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
ISSN: 1938-1883Vydavateľské údaje: IEEE 08.06.2025Vydané v IEEE International Conference on Communications (2003) (08.06.2025)“… 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
ISSN: 2766-8568Vydavateľské údaje: IEEE 19.06.2024Vydané v IEEE/ACM ... International Symposium on Quality of Service (Online) (19.06.2024)“… 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
ISSN: 2730-616X, 2730-616XVydavateľské údaje: Singapore Springer Nature Singapore 01.12.2025Vydané v Autonomous intelligent systems (01.12.2025)“… 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
ISSN: 2575-8411Vydavateľské údaje: IEEE 01.07.2018Vydané v 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) (01.07.2018)“… 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
ISBN: 9781612842325, 1612842321ISSN: 1550-3607Vydavateľské údaje: IEEE 01.06.2011Vydané v 2011 IEEE International Conference on Communications (ICC) (01.06.2011)“… 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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