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FS-Real: Towards Real-World Cross-Device Federated Learning

FS-Real: Towards Real-World Cross-Device Federated Learning

23 March 2023
Daoyuan Chen
Dawei Gao
Yuexiang Xie
Xuchen Pan
Zitao Li
Yaliang Li
Bolin Ding
Jingren Zhou
ArXivPDFHTML

Papers citing "FS-Real: Towards Real-World Cross-Device Federated Learning"

9 / 9 papers shown
Title
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Daoyuan Chen
Fandong Meng
Dawei Gao
Bolin Ding
Yaliang Li
FedML
81
26
0
04 May 2023
Papaya: Practical, Private, and Scalable Federated Learning
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
76
108
0
08 Nov 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
139
358
0
14 Jul 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
150
604
0
01 Mar 2021
Federated Evaluation and Tuning for On-Device Personalization: System
  Design & Applications
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
Matthias Paulik
M. Seigel
Henry Mason
Dominic Telaar
Joris Kluivers
...
Dominic Hughes
O. Javidbakht
Fei Dong
Rehan Rishi
Stanley Hung
FedML
141
111
0
16 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
140
631
0
15 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
92
508
0
24 Jan 2021
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
138
465
0
27 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig
Nathalie Baracaldo
Gegi Thomas
Yi Zhou
Ali Anwar
...
Sean Laguna
Mikhail Yurochkin
Mayank Agarwal
Ebube Chuba
Annie Abay
FedML
106
123
0
22 Jul 2020
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