FedQAS: Privacy-aware machine reading comprehension with federated learning

9 February 2022

Papers citing "FedQAS: Privacy-aware machine reading comprehension with federated learning"

5 / 5 papers shown

Title
Tunable Soft Prompts are Messengers in Federated Learning Chenhe Dong Yuexiang Xie Bolin Ding Ying Shen Yaliang Li FedML 38 7 0 12 Nov 2023
Toward efficient resource utilization at edge nodes in federated learning Sadi Alawadi Addi Ait-Mlouk Salman Toor A. Hellander FedML 33 5 0 19 Sep 2023
Federated Learning on Non-iid Data via Local and Global Distillation Xiaolin Zheng Senci Ying Fei Zheng Jianwei Yin Longfei Zheng Chaochao Chen Fengqin Dong FedML 29 6 0 26 Jun 2023
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 172 3,509 0 10 Jun 2015