Federated Learning via Lattice Joint Source-Channel Coding

1 March 2024

Papers citing "Federated Learning via Lattice Joint Source-Channel Coding"

6 / 6 papers shown

Title
UVeQFed: Universal Vector Quantization for Federated Learning Nir Shlezinger Mingzhe Chen Yonina C. Eldar H. Vincent Poor Shuguang Cui FedML MQ 54 227 0 05 Jun 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis Guangxu Zhu Yuqing Du Deniz Gunduz Kaibin Huang 76 312 0 16 Jan 2020
On Analog Gradient Descent Learning over Multiple Access Fading Channels Tomer Sery Kobi Cohen 42 154 0 20 Aug 2019
Federated Learning over Wireless Fading Channels M. Amiri Deniz Gunduz 104 510 0 23 Jul 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 67 643 0 30 Dec 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016