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

:::info
Authors:
(1) Halil Yigit Oksuz, Control Systems Group at Technische Universitat Berlin, Germany and Exzellenzcluster Science of Intelligence, Technische Universitat Berlin, Marchstr. 23, 10587, Berlin, Germany;
(2) Fabio Molinari, Control Syste…


This content originally appeared on HackerNoon and was authored by Computational Technology for All

:::info Authors:

(1) Halil Yigit Oksuz, Control Systems Group at Technische Universitat Berlin, Germany and Exzellenzcluster Science of Intelligence, Technische Universitat Berlin, Marchstr. 23, 10587, Berlin, Germany;

(2) Fabio Molinari, Control Systems Group at Technische Universitat Berlin, Germany;

(3) Henning Sprekeler, Exzellenzcluster Science of Intelligence, Technische Universit¨at Berlin, Marchstr. 23, 10587, Berlin, Germany and Modelling Cognitive Processes Group at Technische Universit¨at Berlin, Germany;

(4) Jorg Raisch, Control Systems Group at Technische Universitat Berlin, Germany and Exzellenzcluster Science of Intelligence, Technische Universitat Berlin, Marchstr. 23, 10587, Berlin, Germany.

:::

Abstract and Introduction

Problem Setup

Federated fair over-the-air learning (FedAir) Algorithm

Convergence Properties

Numerical Example

Conclusion and References

IV. CONVERGENCE PROPERTIES

We start with the following lemmas that are essential for the proofs presented in the paper.

\

\ For the first term on the right-hand side of (21), we have

\

\

\ which can then be used to obtain

\

\

:::info This paper is available on arxiv under CC BY 4.0 DEED license.

:::

\


This content originally appeared on HackerNoon and was authored by Computational Technology for All


Print Share Comment Cite Upload Translate Updates
APA

Computational Technology for All | Sciencx (2024-10-27T19:47:47+00:00) Boosting Fairness and Robustness in Over-the-Air Federated Learning: Convergence Properties. Retrieved from https://www.scien.cx/2024/10/27/boosting-fairness-and-robustness-in-over-the-air-federated-learning-convergence-properties/

MLA
" » Boosting Fairness and Robustness in Over-the-Air Federated Learning: Convergence Properties." Computational Technology for All | Sciencx - Sunday October 27, 2024, https://www.scien.cx/2024/10/27/boosting-fairness-and-robustness-in-over-the-air-federated-learning-convergence-properties/
HARVARD
Computational Technology for All | Sciencx Sunday October 27, 2024 » Boosting Fairness and Robustness in Over-the-Air Federated Learning: Convergence Properties., viewed ,<https://www.scien.cx/2024/10/27/boosting-fairness-and-robustness-in-over-the-air-federated-learning-convergence-properties/>
VANCOUVER
Computational Technology for All | Sciencx - » Boosting Fairness and Robustness in Over-the-Air Federated Learning: Convergence Properties. [Internet]. [Accessed ]. Available from: https://www.scien.cx/2024/10/27/boosting-fairness-and-robustness-in-over-the-air-federated-learning-convergence-properties/
CHICAGO
" » Boosting Fairness and Robustness in Over-the-Air Federated Learning: Convergence Properties." Computational Technology for All | Sciencx - Accessed . https://www.scien.cx/2024/10/27/boosting-fairness-and-robustness-in-over-the-air-federated-learning-convergence-properties/
IEEE
" » Boosting Fairness and Robustness in Over-the-Air Federated Learning: Convergence Properties." Computational Technology for All | Sciencx [Online]. Available: https://www.scien.cx/2024/10/27/boosting-fairness-and-robustness-in-over-the-air-federated-learning-convergence-properties/. [Accessed: ]
rf:citation
» Boosting Fairness and Robustness in Over-the-Air Federated Learning: Convergence Properties | Computational Technology for All | Sciencx | https://www.scien.cx/2024/10/27/boosting-fairness-and-robustness-in-over-the-air-federated-learning-convergence-properties/ |

Please log in to upload a file.



There are no updates yet.
Click the Upload button above to add an update.

You must be logged in to translate posts. Please log in or register.

Related Posts