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Boosting Fairness and Robustness in Over-the-Air Federated Learning: Conclusion and References

27 Oct 2024

This paper presents a federated learning algorithm using Over-the-Air computation for fairness and robustness, optimizing performance in decentralized networks.

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Boosting Fairness and Robustness in Over-the-Air Federated Learning: Numerical Example

27 Oct 2024

This paper presents a federated learning algorithm using Over-the-Air computation for fairness and robustness, optimizing performance in decentralized networks.

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Boosting Fairness and Robustness in Over-the-Air Federated Learning: Convergence Properties

27 Oct 2024

This paper presents a federated learning algorithm using Over-the-Air computation for fairness and robustness, optimizing performance in decentralized networks.

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Boosting Fairness and Robustness in Over-the-Air Federated Learning: FedAir Algorithm

27 Oct 2024

This paper presents a federated learning algorithm using Over-the-Air computation for fairness and robustness, optimizing performance in decentralized networks.

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Boosting Fairness and Robustness in Over-the-Air Federated Learning: Problem Setup

27 Oct 2024

This paper presents a federated learning algorithm using Over-the-Air computation for fairness and robustness, optimizing performance in decentralized networks.

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Boosting Fairness and Robustness in Over-the-Air Federated Learning: Abstract and Introduction

27 Oct 2024

This paper presents a federated learning algorithm using Over-the-Air computation for fairness and robustness, optimizing performance in decentralized networks.

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Extending GNN Learning: 11 Additional Framework Applications

22 Oct 2024

Discover a framework that enhances GNN learning, enabling fair k-shot learning and fairness constraint for equitable predictive performance in structural groups

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Comprehensive Overview of GNN Experiments: Hardware, Hyperparameters, and Findings

22 Oct 2024

This appendix details the experimental setup, hardware, hyperparameters, and additional results confirming GNN performance and findings across datasets.

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Optimizing GNNs: A Sampling-Based Solution to the k-Center Problem

22 Oct 2024

Modified greedy and sampling algorithms solve Eq. (6) in GNNs for the k-center problem, with a running time complexity of O(k) and O(kn) respectively.