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2006.12097
Cited By
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
22 June 2020
Wonyong Jeong
Jaehong Yoon
Eunho Yang
Sung Ju Hwang
FedML
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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
Yifan Zeng
29
0
0
10 May 2025
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
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
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
Siqi Liang
Jintao Huang
Junyuan Hong
Dun Zeng
Jiayu Zhou
Zenglin Xu
FedML
40
7
0
20 Jun 2023
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
Zhipeng Deng
Luyang Luo
Hao Chen
FedML
19
1
0
14 Apr 2023
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
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
Qianling Guo
Yong Qi
Saiyu Qi
Di Wu
FedML
26
5
0
16 Nov 2022
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
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
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
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
Yanhang Shi
Siguang Chen
Haijun Zhang
FedML
23
8
0
05 May 2022
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
Sangmook Kim
Wonyoung Shin
Soohyuk Jang
Hwanjun Song
Se-Young Yun
31
2
0
03 May 2022
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
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
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
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
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
Tiantian Feng
Shrikanth Narayanan
35
17
0
15 Mar 2022
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
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
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
Vasileios Tsouvalas
T. Ozcelebi
N. Meratnia
34
21
0
05 Feb 2022
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
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
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
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
Yuchen Zhao
Payam Barnaghi
Hamed Haddadi
13
74
0
10 Sep 2021
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
Haowen Lin
Jian Lou
Li Xiong
Cyrus Shahabi
FedML
26
56
0
21 Aug 2021
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
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
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
Giulio Zizzo
Ambrish Rawat
M. Sinn
Beat Buesser
FedML
30
43
0
03 Dec 2020
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