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DACFL: Dynamic Average Consensus-Based Federated Learning in Decentralized Sensors Network
Sensors, 2022 Federated Learning (FL) is a privacy-preserving way to utilize the sensitive data generated by smart sensors of user devices, where a central parameter server (PS) coordinates multiple user devices to train a global model. However, relying on centralized
Zhikun Chen +3 more
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Average consensus via max consensus
IFAC-PapersOnLine, 2015 Abstract Since intuition states that it is simple and fast to compute maxima over networks, we aim at understanding the limits of computing averages over networks through computing maxima. We thus build on top of max-consensus based networks’ cardinality estimation protocols a novel estimation strategy that infers averages through computing maxima of
Lucchese R., Varagnolo D.
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Event-Triggered Average Consensus of Multiagent Systems with Switching Topologies
Discrete Dynamics in Nature and Society, 2020 Event-triggered average consensus of multiagent systems with switching topologies is studied in this paper. A distributed protocol based on event-triggered time sequences and switching time sequences is designed.
Gaosen Dong, Chunde Yang, Wei Zhu
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Progressive quantization in distributed average consensus [PDF]
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 We consider the problem of distributed average consensus in a sensor network where sensors exchange quantized information with their neighbors. We propose a novel quantization scheme that exploits the increasing correlation between the values exchanged by the sensors throughout the iterations of the consensus algorithm.
Thanou, Dorina +2 more
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Secure and privacy preserving average consensus [PDF]
2017 11th Asian Control Conference (ASCC), 2017 Due to the wide application of consensus algorithms, its privacy and security problems have attracted significant attention. In this paper, we consider the average consensus scheme threatened by a set of cooperating malicious and curious attackers, who intend to not only estimate the initial states of other benign agents but also disturb the consensus (
Qipeng Liu 0002, Xiaoqiang Ren, Yilin Mo
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Average Consensus of Multi-Agent Systems Under Directed Topologies and Binary-Valued Communications
IEEE Access, 2018 This paper is concerned with the average consensus problem of multi-agent systems with binary-valued communications under directed topologies. The information that each agent communicates with others is binary-valued with a fixed threshold and the ...
Ting Wang, Hang Zhang, Yanlong Zhao
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Tutorial on Dynamic Average Consensus [PDF]
, 2019 This paper considers the problem of dynamic average consensus algorithm design for a group of communicating agents. This problem consists of designing a distributed algorithm that enables a group of agents with communication and computation capabilities ...
Martnez, Sonia +5 more
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Distributed Joint Cooperative Self-Localization and Target Tracking Algorithm for Mobile Networks
Sensors, 2019 Location information is a key issue for applications of the Internet of Things. In this paper, we focus on mobile wireless networks with moving agents and targets.
Junjie Zhang +4 more
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D-World: Decay Small-World for Optimizing Swarm Knowledge Synchronization
IEEE Access, 2022 Knowledge synchronization in robot swarm systems is a challenging task under communication constraints. Swarm robots cannot maintain the complete communication structure with classic fixed communication network, which leads to the decline of motion ...
Zhenlong Xiao +3 more
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Linear High-Order Distributed Average Consensus Algorithm in Wireless Sensor Networks
EURASIP Journal on Advances in Signal Processing, 2010 This paper presents a linear high-order distributed average consensus (DAC) algorithm for wireless sensor networks. The average consensus property and the convergence rate of the high-order DAC algorithm are analyzed. In particular, the convergence rate
Xiong Gang, Kishore Shalinee
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