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Motley: Benchmarking Heterogeneity and Personalization in Federated
  Learning

Motley: Benchmarking Heterogeneity and Personalization in Federated Learning

18 June 2022
Shan-shan Wu
Tian Li
Zachary B. Charles
Yu Xiao
Ziyu Liu
Zheng Xu
Virginia Smith
    FedML
ArXivPDFHTML

Papers citing "Motley: Benchmarking Heterogeneity and Personalization in Federated Learning"

14 / 14 papers shown
Title
FedSoup: Improving Generalization and Personalization in Federated
  Learning via Selective Model Interpolation
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
Minghui Chen
Meirui Jiang
Qianming Dou
Zehua Wang
Xiaoxiao Li
FedML
32
15
0
20 Jul 2023
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
Jiamian Wang
Zong-Jhe Wu
Yulun Zhang
Xin Yuan
Tao R. Lin
Zhiqiang Tao
FedML
48
3
0
01 Jun 2023
Can Public Large Language Models Help Private Cross-device Federated
  Learning?
Can Public Large Language Models Help Private Cross-device Federated Learning?
Boxin Wang
Yibo Zhang
Yuan Cao
Bo-wen Li
H. B. McMahan
Sewoong Oh
Zheng Xu
Manzil Zaheer
FedML
24
37
0
20 May 2023
HPN: Personalized Federated Hyperparameter Optimization
HPN: Personalized Federated Hyperparameter Optimization
Anda Cheng
Zhen Wang
Yaliang Li
Jianwei Cheng
22
1
0
11 Apr 2023
Stochastic Clustered Federated Learning
Stochastic Clustered Federated Learning
Dun Zeng
Xiangjing Hu
Shiyu Liu
Yue Yu
Qifan Wang
Zenglin Xu
FedML
20
13
0
02 Mar 2023
Personalized Decentralized Federated Learning with Knowledge
  Distillation
Personalized Decentralized Federated Learning with Knowledge Distillation
Eunjeong Jeong
Marios Kountouris
FedML
17
16
0
23 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor
  Attacks
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
FedML
35
25
0
03 Feb 2023
Federated Automatic Differentiation
Federated Automatic Differentiation
Keith Rush
Zachary B. Charles
Zachary Garrett
FedML
34
1
0
18 Jan 2023
Straggler-Resilient Personalized Federated Learning
Straggler-Resilient Personalized Federated Learning
Isidoros Tziotis
Zebang Shen
Ramtin Pedarsani
Hamed Hassani
Aryan Mokhtari
FedML
31
9
0
05 Jun 2022
Can Foundation Models Help Us Achieve Perfect Secrecy?
Can Foundation Models Help Us Achieve Perfect Secrecy?
Simran Arora
Christopher Ré
FedML
16
6
0
27 May 2022
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
178
411
0
14 Jul 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 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
168
787
0
15 Feb 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
168
564
0
27 Jul 2020
1