Results 11 to 20 of about 9,149 (290)
Multi-Server Secure Aggregation with Unreliable Communication Links
In many distributed learning setups such as federated learning (FL), client nodes at the edge use individually collected data to compute local gradients and send them to a central master server. The master server then aggregates the received gradients and broadcasts the aggregation to all clients, with which the clients can update the global model.
Kai Liang +3 more
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Analysis and Comparison of Queue with N-Policy and Unreliable Server
This work considers a queueing system with N-policy and unreliable server, where potential customers arrive at the system according to Poisson process. If there is no customer waiting in the system, instead of shutting down, the server turns into dormant
Qing Ma, Xuelu Zhang
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Cost-Benefit Analysis of a Standby Retrial System with an Unreliable Server and Switching Failure
In many industries and plants, a stable power supply system with acceptable cost/benefit is essential. This paper investigates the cost-effectiveness of an unreliable retrial system that includes standby generators and experiences the switchover failures
Tzu-Hsin Liu +3 more
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Study of feedback queueing system with unreliable waiting server under Multiple Differentiated Vacation Policy [PDF]
This manuscript analyses a queueing system with Bernoulli schedule feedback of customers, unreliable waiting server under differentiated vacations. The unsatisfied customer may again join the queue with probability α, following Bernoulli schedule.
Rajni Gupta, Sangeeta Malik
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In the paper, a queueing system with unreliable server and so called «cold» redundancy is analyzed. The system consists of an infinite buffer, the main unreliable server and the reliable reserve server.
V. I. Klimenok
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In this paper, a retrial queueing system of the M/M/1 type with Poisson flows of arrivals, impatient customers, collisions, and an unreliable service device is considered.
Elena Danilyuk +3 more
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Reputation-Aware Multi-Agent DRL for Secure Hierarchical Federated Learning in IoT
Aiming at protecting device data privacy, Federated Learning (FL) is a framework of distributed machine learning in which devices’ local model parameters are exchanged with a centralized server without revealing the actual data.
Noora Mohammed Al-Maslamani +2 more
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This work considers a preemptive priority queueing system with vacation, where the single server may break down with imperfect coverage. Various combinations of server vacation priority queueing models have been studied by many scholars.
Tzu-Hsin Liu +3 more
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Analysis of bulk service queuing system with rework, unreliable server, resuming service and two kinds of multiple vacation [PDF]
In this paper, we discuss a batch arrival bulk service queue with rework for the faculty item, possibility of breakdown, repair, and two kinds of multiple vacation with different threshold policy.
Karpagam S.
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Two-way communication retrial queue with unreliable server and multiple types of outgoing calls
Retrial queue under consideration is the model of call center operator switching between input and outgoing calls. Incoming calls form a Poisson point process.
Anatoly A. Nazarov +2 more
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