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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"

32 / 32 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
26
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
27
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
17
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
C. L. P. Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
93
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
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
13
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
58
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
21
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
49
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
22
27
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
Uncertainty Minimization for Personalized Federated Semi-Supervised
  Learning
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
Yanhang Shi
Siguang Chen
Haijun Zhang
FedML
21
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
27
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
29
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
19
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
H. Fu
Lei Zhu
X. Li
FedML
10
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
11
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
19
16
0
21 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
19
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
25
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
26
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
14
12
0
29 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
95
36
0
06 Oct 2021
Multimodal Federated Learning on IoT Data
Multimodal Federated Learning on IoT Data
Yuchen Zhao
Payam Barnaghi
Hamed Haddadi
11
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
40
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
21
56
0
21 Aug 2021
Federated Multi-Target Domain Adaptation
Federated Multi-Target Domain Adaptation
Chun-Han Yao
Boqing Gong
Yin Cui
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
S. Hwang
Eunho Yang
FedML
22
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
31
76
0
25 Feb 2021
FAT: Federated Adversarial Training
FAT: Federated Adversarial Training
Giulio Zizzo
Ambrish Rawat
M. Sinn
Beat Buesser
FedML
15
43
0
03 Dec 2020
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