The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning
with Transformers

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers

7 August 2023

Yulan Gao

Zengxiang Li

Papers citing "The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers"

6 / 6 papers shown

Title
FedALA: Adaptive Local Aggregation for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 51 209 0 02 Dec 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 28 178 0 10 Jun 2021
Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli Ayan Chakrabarti Daniel Glasner Daliang Li Thomas Unterthiner Andreas Veit ViT 47 382 0 26 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 287 855 0 01 Mar 2021
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation Huiyu Wang Yukun Zhu Bradley Green Hartwig Adam Alan Yuille Liang-Chieh Chen 3DPC 95 669 0 17 Mar 2020
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 383 27,205 0 01 Sep 2014