Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation

1 August 2023

Papers citing "Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation"

8 / 8 papers shown

Title
Quantized and Asynchronous Federated Learning Tomàs Ortega Hamid Jafarkhani FedML 20 0 0 30 Sep 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization Yujia Wang Shiqiang Wang Songtao Lu Jinghui Chen FedML 21 3 0 25 Jul 2024
pfl-research: simulation framework for accelerating research in Private Federated Learning Filip Granqvist Congzheng Song Áine Cahill Rogier van Dalen Martin Pelikan Yi Sheng Chan Xiaojun Feng Natarajan Krishnaswami Vojta Jina Mona Chitnis FedML 26 5 0 09 Apr 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Nir Shlezinger FedML 40 4 0 27 Mar 2024
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression Kaja Gruntkowska A. Tyurin Peter Richtárik 36 18 0 30 Sep 2022
Papaya: Practical, Private, and Scalable Federated Learning Dzmitry Huba John Nguyen Kshitiz Malik Ruiyu Zhu Michael G. Rabbat ... H. Srinivas Kaikai Wang Anthony Shoumikhin Jesik Min Mani Malek FedML 97 133 0 08 Nov 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 83 236 0 09 Sep 2021
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 167 193 0 26 Feb 2021