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Federated Semi-Supervised Learning with Inter-Client Consistency &
  Disjoint Learning

Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning

22 June 2020
Wonyong Jeong
Jaehong Yoon
Eunho Yang
Sung Ju Hwang
    FedML
ArXivPDFHTML

Papers citing "Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning"

38 / 38 papers shown
Title
A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things
A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things
Yifan Zeng
29
0
0
10 May 2025
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly
  Detection in IoT Networks
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Wenbin Zhai
Feng Wang
L. Liu
Youwei Ding
Wanyi Lu
32
0
0
23 Aug 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous
  Participants
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants
Zhipeng Sun
Yang Xu
Hong-Ze Xu
Liusheng Huang
C. Qiao
FedML
25
0
0
29 Jul 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Cheng Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
99
85
0
27 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark
FedNoisy: Federated Noisy Label Learning Benchmark
Siqi Liang
Jintao Huang
Junyuan Hong
Dun Zeng
Jiayu Zhou
Zenglin Xu
FedML
40
7
0
20 Jun 2023
Federated Generalized Category Discovery
Federated Generalized Category Discovery
Nan Pu
Zhun Zhong
Xinyuan Ji
N. Sebe
FedML
28
13
0
23 May 2023
Scale Federated Learning for Label Set Mismatch in Medical Image
  Classification
Scale Federated Learning for Label Set Mismatch in Medical Image Classification
Zhipeng Deng
Luyang Luo
Hao Chen
FedML
19
1
0
14 Apr 2023
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data
  with Convergence Analysis
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
Nan Yang
Dong Yuan
Charles Z. Liu
Yong Deng
Wei Bao
FedML
66
5
0
23 Feb 2023
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated
  Learning Framework
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
Shuai Wang
Yanqing Xu
Z. Wang
Tsung-Hui Chang
Tony Q. S. Quek
Defeng Sun
FedML
25
9
0
03 Dec 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Qianling Guo
Yong Qi
Saiyu Qi
Di Wu
FedML
26
5
0
16 Nov 2022
FedMT: Federated Learning with Mixed-type Labels
FedMT: Federated Learning with Mixed-type Labels
Qiong Zhang
Jing Peng
Xin Zhang
A. Talhouk
Gang Niu
Xiaoxiao Li
FedML
54
0
0
05 Oct 2022
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with
  Class Imbalance
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance
Meirui Jiang
Hongzheng Yang
Xiaoxiao Li
Quande Liu
Pheng-Ann Heng
Qi Dou
FedML
25
23
0
27 Jun 2022
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Zijian Li
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jinchao Zhang
FedML
15
39
0
11 Jun 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data
  Heterogeneity in Medical Imaging
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan
Liangqiong Qu
Qingyue Wei
Shih-Cheng Huang
Liyue Shen
D. Rubin
Lei Xing
Yuyin Zhou
FedML
78
90
0
17 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised
  Learning
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
Yanhang Shi
Siguang Chen
Haijun Zhang
FedML
23
8
0
05 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image
  Segmentation
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
Jeffry Wicaksana
Zengqiang Yan
Dong Zhang
Xijie Huang
Huimin Wu
Xin Yang
Kwang-Ting Cheng
FedML
35
49
0
04 May 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
Sangmook Kim
Wonyoung Shin
Soohyuk Jang
Hwanjun Song
Se-Young Yun
31
2
0
03 May 2022
Divergence-aware Federated Self-Supervised Learning
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
22
97
0
09 Apr 2022
Federated Learning from Only Unlabeled Data with
  Class-Conditional-Sharing Clients
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
Nan Lu
Zhao Wang
Xiaoxiao Li
Gang Niu
Qianming Dou
Masashi Sugiyama
FedML
27
39
0
07 Apr 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Xiaoxiao Liang
Yiqun Lin
Huazhu Fu
Lei Zhu
Xiaomeng Li
FedML
19
48
0
26 Mar 2022
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19
  Segmentation
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation
Antonios Georgiadis
Varun Babbar
Fran Silavong
Sean J. Moran
R. Otter
OOD
FedML
21
3
0
25 Mar 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption
Sam Leroux
Pieter Simoens
Meelis Lootus
Kartik Thakore
Akshay Sharma
24
16
0
21 Mar 2022
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On
  Federated Learning using Multiview Pseudo-Labeling
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling
Tiantian Feng
Shrikanth Narayanan
35
17
0
15 Mar 2022
Vertical Federated Principal Component Analysis and Its Kernel Extension
  on Feature-wise Distributed Data
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data
Y. Cheung
Juyong Jiang
F. Yu
Jian Lou
FedML
32
12
0
03 Mar 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight
  Dequantization
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
Jaehong Yoon
Geondo Park
Wonyong Jeong
Sung Ju Hwang
FedML
24
19
0
23 Feb 2022
Towards Battery-Free Machine Learning and Inference in Underwater
  Environments
Towards Battery-Free Machine Learning and Inference in Underwater Environments
Yuchen Zhao
Sayed Saad Afzal
Waleed Akbar
Osvy Rodriguez
Fan Mo
David E. Boyle
Fadel M. Adib
Hamed Haddadi
3DV
27
19
0
16 Feb 2022
Privacy-preserving Speech Emotion Recognition through Semi-Supervised
  Federated Learning
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning
Vasileios Tsouvalas
T. Ozcelebi
N. Meratnia
34
21
0
05 Feb 2022
Federated Semi-Supervised Learning with Class Distribution Mismatch
Federated Semi-Supervised Learning with Class Distribution Mismatch
Zhiguo Wang
Xintong Wang
Ruoyu Sun
Tsung-Hui Chang
FedML
21
12
0
29 Oct 2021
Semi-Supervised Federated Learning with non-IID Data: Algorithm and
  System Design
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design
Zhe Zhang
Shiyao Ma
Jiangtian Nie
Yi Wu
Qiang Yan
Xiaoke Xu
Dusit Niyato
FedML
15
16
0
26 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized
  Self-Supervision
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Chaoyang He
Zhengyu Yang
Erum Mushtaq
Sunwoo Lee
Mahdi Soltanolkotabi
A. Avestimehr
FedML
98
36
0
06 Oct 2021
FedTriNet: A Pseudo Labeling Method with Three Players for Federated
  Semi-supervised Learning
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
Liwei Che
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
25
23
0
12 Sep 2021
Multimodal Federated Learning on IoT Data
Multimodal Federated Learning on IoT Data
Yuchen Zhao
Payam Barnaghi
Hamed Haddadi
13
74
0
10 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
48
22
0
09 Sep 2021
SemiFed: Semi-supervised Federated Learning with Consistency and
  Pseudo-Labeling
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling
Haowen Lin
Jian Lou
Li Xiong
Cyrus Shahabi
FedML
26
56
0
21 Aug 2021
Federated Multi-Target Domain Adaptation
Federated Multi-Target Domain Adaptation
Chun-Han Yao
Boqing Gong
Huayu Chen
Qi
Yukun Zhu
Ming-Hsuan Yang
OOD
FedML
11
63
0
17 Aug 2021
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
Tehrim Yoon
Sumin Shin
Sung Ju Hwang
Eunho Yang
FedML
27
164
0
01 Jul 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
37
76
0
25 Feb 2021
FAT: Federated Adversarial Training
FAT: Federated Adversarial Training
Giulio Zizzo
Ambrish Rawat
M. Sinn
Beat Buesser
FedML
30
43
0
03 Dec 2020
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