QuantumFed: A Federated Learning Framework for Collaborative Quantum Training

16 June 2021

Papers citing "QuantumFed: A Federated Learning Framework for Collaborative Quantum Training"

9 / 9 papers shown

Title
LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Dev Gurung Shiva Raj Pokhrel FedML 144 0 0 24 May 2025
Efficient Learning for Deep Quantum Neural Networks Kerstin Beer Dmytro Bondarenko Terry Farrelly T. Osborne Robert Salzmann Ramona Wolf 50 554 0 27 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.2K 93,936 0 11 Oct 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 519 129,831 0 12 Jun 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 271 4,620 0 18 Oct 2016
Enhanced LSTM for Natural Language Inference Qian Chen Xiao-Dan Zhu Zhenhua Ling Si Wei Hui Jiang Diana Inkpen LRM ReLM 76 1,128 0 20 Sep 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 402 37,704 0 20 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 251 17,328 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015