DP-REC: Private & Communication-Efficient Federated Learning

DP-REC: Private & Communication-Efficient Federated Learning

9 November 2021

Aleksei Triastcyn

Christos Louizos

Papers citing "DP-REC: Private & Communication-Efficient Federated Learning"

10 / 10 papers shown

Title
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 42 2 0 28 May 2024
Communication Efficient Private Federated Learning Using Dithering Burak Hasircioglu Deniz Gunduz FedML 45 7 0 14 Sep 2023
Adaptive Compression in Federated Learning via Side Information Berivan Isik Francesco Pase Deniz Gunduz Sanmi Koyejo Tsachy Weissman M. Zorzi FedML 36 9 0 22 Jun 2023
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design Chuan Guo Kamalika Chaudhuri Pierre Stock Michael G. Rabbat FedML 33 7 0 08 Nov 2022
Reconciling Security and Communication Efficiency in Federated Learning Karthik Prasad Sayan Ghosh Graham Cormode Ilya Mironov Ashkan Yousefpour Pierre Stock FedML 35 8 0 26 Jul 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 19 51 0 14 Jul 2022
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices Kartik Gupta Marios Fournarakis M. Reisser Christos Louizos Markus Nagel FedML 22 15 0 22 Jun 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression Zhize Li Haoyu Zhao Boyue Li Yuejie Chi FedML 35 41 0 20 Jun 2022
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020