Energy or Accuracy? Near|Optimal User Selection and Aggregator ...

Energy or Accuracy? Near-Optimal User Selection and Aggregator ...

In this paper, we investigate the problem of energy minimization for FL in an MEC network with uncertain availabilities of UEs.

Energy or Accuracy? Near-Optimal User Selection and Aggregator ...

We finally evaluate the performance of the proposed algorithms by extensive experiments. Experimental results show that the proposed algorithms ...

[PDF] Energy or Accuracy? Near-Optimal User Selection and ...

Energy or Accuracy? Near-Optimal User Selection and Aggregator Placement for Federated Learning in MEC · Zichuan Xu, Dongrui Li, +5 authors. Hao Li · Published in ...

Energy or Accuracy? Near-Optimal User Selection and Aggregator ...

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Energy or Accuracy Near Optimal User Selection and Aggregator ...

Energy or Accuracy Near Optimal User Selection and Aggregator Placement for Federated Learning in ME · Comments.

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Rhestr o gyhoeddiadau > Energy or accuracy? Near-optimal user selection and aggregator placement for federated learning in MEC. Hafan · Prosiectau · Setiau Data ...

Energy or Accuracy? Near-Optimal User Selection and ... - Altmetric

Energy or Accuracy? Near-Optimal User Selection and Aggregator Placement for Federated Learning in MEC ... on Mobile Computing): Investigating the ...

Optimal design of aggregated energy systems with (N-1) reliability

... energy to a user or a set of users at minimum Total ... selection of representative periods for improved representation accuracy [7,15].

Zichuan Xu – Dalian University of Technology.

Energy or accuracy? near-optimal user selection and aggregator placement for federated learning in MEC. IEEE Transactions on Mobile Computing, Vol. 23. No ...

Energy or accuracy? Near-optimal user selection and aggregator ...

List of publications > Energy or accuracy? Near-optimal user selection and aggregator placement for federated learning in MEC. Home · Projects · Research ...

Designing aggregation criteria for end-users integration in energy ...

These criteria are focused to select the type and the number of users in an energy community to maximize the economic benefit and the amount of self-consumed ...

The More the Merrier? Navigating Accuracy vs. Energy Efficiency ...

Lastly, subset-based training led to significantly lower energy consumption (Cohen's d d d italic_d of 0.91), while training on the whole ...

Uncertainty-Aware Federated Reinforcement Learning for ... - MDPI

Park et al.'s FedPSO uses particle swarm optimization for weight aggregation, selecting optimal client weights to improve accuracy [22]. ... Accuracy and Energy ...

Aggregator Placement and UE Assignment for Hierarchical ...

... energy consumption. Xu et al. [34] ... Energy or Accuracy? Near-Optimal User Selection and Aggregator Placement for Federated Learning in MEC.

Federated Learning Convergence Optimization for Energy-Limited ...

In our model, we incorporate the use of variable global aggregation ... selection of the aggregation node. Hence, the communication time of EN i in ...

Wind Power Integration via Aggregator-Consumer Coordination

Payoffs: For each user n, fn(xn, x−n) as in (11). D. Best Response and Nash Equilibrium. We first consider the best response strategy, which is a user's choice ...

Age-Aware Data Selection and Aggregator Placement ... - CS @ CityU

network, with various heterogeneous user ... selection and aggregator placement on the accuracy of FCL. ... best subset R∗ of FCL requests are selected for ...

Published Papers Using Dataport – Pecan Street Inc.

Community energy storage: A smart choice for the smart grid? ... Multi-objective Optimization for Power Load Recommendation Considering User's Comfort

Optimal Portfolio Selection Methodology for a Demand Response ...

An optimization problem is formulated to capture the interactions between the aggregator and end consumers. The model is formulated as a mathematical program ...

A Survey of Data Aggregation Protocols for Energy Conservation in ...

AI (particle swarm optimization (PSO) algorithm and genetic algorithm (GA)) techniques can be used for nodes distribution to improve IoT network ...