Federated Learning: A signal processing perspective-Reference-Cited by-同舟云学术

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Federated Learning: A signal processing perspective

Published:2022-05 Issue:3 Volume:39 Page:14-41
ISSN:1053-5888
Container-title:IEEE Signal Processing Magazine
language:
Short-container-title:IEEE Signal Process. Mag.

Author:

Gafni Tomer¹,Shlezinger Nir¹,Cohen Kobi¹,Eldar Yonina C.²,Poor H. Vincent³

Affiliation:

1. School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel

2. Department of Math and Computer Science, Weizmann Institute of Science, Rehovot, Israel

3. Michael Henry Strater University Professor, Princeton University, Princeton, New Jersey, USA

Funder

Israel Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/79/9770265/09770266.pdf?arnumber=9770266

Reference61 articles.

1. Computation Over Multiple-Access Channels

2. Federated dynamic spectrum access;song,2021

3. Over-the-Air Computation Systems: Optimization, Analysis and Scaling Laws

4. Energy-Efficient Resource Allocation in Wireless Networks

5. A Hybrid Approach to Privacy-Preserving Federated Learning

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5. On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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