Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy

15 May 2024

Papers citing "Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy"

5 / 5 papers shown

Title
Efficient and Private Federated Learning with Partially Trainable Networks Hakim Sidahmed Zheng Xu Ankush Garg Yuan Cao Mingqing Chen FedML 49 13 0 06 Oct 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 226 966 0 13 Dec 2020
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition Yu Zhang James Qin Daniel S. Park Wei Han Chung-Cheng Chiu Ruoming Pang Quoc V. Le Yonghui Wu VLM SSL 141 308 0 20 Oct 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 760 0 28 Sep 2019
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 284 39,190 0 01 Sep 2014