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Federated Learning for Internet of Things: A Federated Learning
  Framework for On-device Anomaly Data Detection

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection

15 June 2021
Tuo Zhang
Chaoyang He
Tian-Shya Ma
Lei Gao
Mark Ma
Salman Avestimehr
    FedML
ArXivPDFHTML

Papers citing "Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection"

11 / 11 papers shown
Title
An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning
An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning
Yan-Ann Chen
Guan-Lin Chen
FedML
48
0
0
11 Apr 2025
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with
  Adaptive Partial Training
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
Tuo Zhang
Lei Gao
Sunwoo Lee
Mi Zhang
Salman Avestimehr
FedML
22
28
0
14 Apr 2023
QuantPipe: Applying Adaptive Post-Training Quantization for Distributed
  Transformer Pipelines in Dynamic Edge Environments
QuantPipe: Applying Adaptive Post-Training Quantization for Distributed Transformer Pipelines in Dynamic Edge Environments
Hong Wang
Connor Imes
Souvik Kundu
P. Beerel
S. Crago
J. Walters
MQ
8
7
0
08 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and
  Opportunities
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Lei Fu
Huan Zhang
Ge Gao
Mi Zhang
Xin Liu
FedML
32
115
0
03 Nov 2022
FedAudio: A Federated Learning Benchmark for Audio Tasks
FedAudio: A Federated Learning Benchmark for Audio Tasks
Tuo Zhang
Tiantian Feng
Samiul Alam
Sunwoo Lee
Mi Zhang
Shrikanth S. Narayanan
Salman Avestimehr
FedML
25
23
0
27 Oct 2022
Symbolic analysis meets federated learning to enhance malware identifier
Symbolic analysis meets federated learning to enhance malware identifier
Khanh-Huu-The Dam
Charles-Henry Bertrand Van Ouytsel
Axel Legay
FedML
21
5
0
29 Apr 2022
Federated Learning for Internet of Things: Applications, Challenges, and
  Opportunities
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
Tuo Zhang
Lei Gao
Chaoyang He
Mi Zhang
Bhaskar Krishnamachari
Salman Avestimehr
FedML
19
168
0
15 Nov 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Di Wu
R. Ullah
P. Harvey
Peter Kilpatrick
I. Spence
Blesson Varghese
40
78
0
09 Jul 2021
From Distributed Machine Learning to Federated Learning: A Survey
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
44
243
0
29 Apr 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
175
355
0
07 Dec 2020
Local Differential Privacy based Federated Learning for Internet of
  Things
Local Differential Privacy based Federated Learning for Internet of Things
Yang Zhao
Jun Zhao
Mengmeng Yang
Teng Wang
Ning Wang
Lingjuan Lyu
Dusit Niyato
Kwok-Yan Lam
23
291
0
19 Apr 2020
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