ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.12535
  4. Cited By
Federated User Representation Learning

Federated User Representation Learning

27 September 2019
D. Bui
Kshitiz Malik
Jack Goetz
Honglei Liu
Seungwhan Moon
Anuj Kumar
K. Shin
    FedML
ArXivPDFHTML

Papers citing "Federated User Representation Learning"

34 / 34 papers shown
Title
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
85
7
0
17 Jan 2025
FedSheafHN: Personalized Federated Learning on Graph-structured Data
FedSheafHN: Personalized Federated Learning on Graph-structured Data
Wenfei Liang
Yanan Zhao
Rui She
Yiming Li
Wee Peng Tay
FedML
38
0
0
25 May 2024
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
Wei-Bin Kou
Qingfeng Lin
Ming Tang
Sheng Xu
Rongguang Ye
...
Shuai Wang
Guofa Li
Zhenyu Chen
Guangxu Zhu
Yik-Chung Wu
FedML
45
10
0
07 May 2024
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning
  without Labels
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels
Satyavrat Wagle
Seyyedali Hosseinalipour
Naji Khosravan
Christopher G. Brinton
FedML
32
2
0
15 Apr 2024
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual
  Semantic Alignment-Based Contrastive Approach
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
Qing Liu
Sheng Sun
Yuxuan Liang
Jingjing Xue
Min Liu
AI4TS
19
2
0
04 Apr 2024
Analysis of Privacy Leakage in Federated Large Language Models
Analysis of Privacy Leakage in Federated Large Language Models
Minh Nhat Vu
Truc D. T. Nguyen
Tre' R. Jeter
My T. Thai
23
6
0
02 Mar 2024
UNIDEAL: Curriculum Knowledge Distillation Federated Learning
UNIDEAL: Curriculum Knowledge Distillation Federated Learning
Yuwen Yang
Chang Liu
Xun Cai
Suizhi Huang
Hongtao Lu
Yue Ding
FedML
29
8
0
16 Sep 2023
Medical Federated Model with Mixture of Personalized and Sharing
  Components
Medical Federated Model with Mixture of Personalized and Sharing Components
Yawei Zhao
Qinghe Liu
Xinwang Liu
K. He
FedML
OOD
11
2
0
26 Jun 2023
Federated Few-shot Learning
Federated Few-shot Learning
Song Wang
Xingbo Fu
Kaize Ding
Chen Chen
Huiyuan Chen
Jundong Li
FedML
39
22
0
17 Jun 2023
Explicit Personalization and Local Training: Double Communication
  Acceleration in Federated Learning
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning
Kai Yi
Laurent Condat
Peter Richtárik
FedML
26
5
0
22 May 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image
  Classification
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification
Hong-You Chen
Jike Zhong
Mingda Zhang
Xuhui Jia
Qi
Boqing Gong
Wei-Lun Chao
Li Zhang
FedML
22
6
0
16 Apr 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in
  Road Traffic Systems
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Rui Song
Runsheng Xu
Andreas Festag
Jiaqi Ma
Alois C. Knoll
FedML
21
25
0
04 Apr 2023
PaDPaF: Partial Disentanglement with Partially-Federated GANs
PaDPaF: Partial Disentanglement with Partially-Federated GANs
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
11
2
0
07 Dec 2022
Exploiting Personalized Invariance for Better Out-of-distribution
  Generalization in Federated Learning
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning
Xueyang Tang
Song Guo
Jie M. Zhang
FedML
OODD
OOD
13
3
0
21 Nov 2022
A Survey on Heterogeneous Federated Learning
A Survey on Heterogeneous Federated Learning
Dashan Gao
Xin Yao
Qian Yang
FedML
16
58
0
10 Oct 2022
SphereFed: Hyperspherical Federated Learning
SphereFed: Hyperspherical Federated Learning
Xin Dong
S. Zhang
Ang Li
H. T. Kung
FedML
20
19
0
19 Jul 2022
Layer-wised Model Aggregation for Personalized Federated Learning
Layer-wised Model Aggregation for Personalized Federated Learning
Xiaosong Ma
Jie M. Zhang
Song Guo
Wenchao Xu
FedML
8
168
0
09 May 2022
Training Mixed-Domain Translation Models via Federated Learning
Training Mixed-Domain Translation Models via Federated Learning
Peyman Passban
Tanya Roosta
Rahul Gupta
Ankit R. Chadha
Clement Chung
FedML
AI4CE
13
18
0
03 May 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
11
88
0
11 Apr 2022
Federated Learning with Partial Model Personalization
Federated Learning with Partial Model Personalization
Krishna Pillutla
Kshitiz Malik
Abdel-rahman Mohamed
Michael G. Rabbat
Maziar Sanjabi
Lin Xiao
FedML
19
152
0
08 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity
Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin
Yang Peng
Wenhao Yang
Shusen Wang
Zhihua Zhang
39
66
0
06 Apr 2022
Incremental user embedding modeling for personalized text classification
Incremental user embedding modeling for personalized text classification
Ruixue Lian
Chengyu Huang
Y. Tang
Qi Gu
Chengyuan Ma
Chenlei Guo
AI4TS
6
4
0
13 Feb 2022
Federated Natural Language Generation for Personalized Dialogue System
Federated Natural Language Generation for Personalized Dialogue System
Yujie Lu
Chao-Wei Huang
Huanli Zhan
Yong Zhuang
FedML
77
9
0
13 Oct 2021
Preliminary Steps Towards Federated Sentiment Classification
Preliminary Steps Towards Federated Sentiment Classification
Xin-Chun Li
Lan Li
De-Chuan Zhan
Yunfeng Shao
Bingshuai Li
Shaoming Song
21
1
0
26 Jul 2021
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated
  Learning Under Different Non-IID Scenes
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes
Xin-Chun Li
Le Gan
De-Chuan Zhan
Yunfeng Shao
Bingshuai Li
Shaoming Song
OOD
11
9
0
26 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image
  Classification
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen
Wei-Lun Chao
FedML
8
21
0
02 Jul 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning
  with Non-IID Data
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo
Fei Chen
Dapeng Hu
Yifan Zhang
Jian Liang
Jiashi Feng
FedML
20
327
0
09 Jun 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
183
840
0
01 Mar 2021
Federated Marginal Personalization for ASR Rescoring
Federated Marginal Personalization for ASR Rescoring
Zhe Liu
Fuchun Peng
11
1
0
01 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model
  Quality Perspective
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective
Yi Liu
Li Zhang
Ning Ge
Guanghao Li
FedML
20
21
0
01 Dec 2020
SEEC: Semantic Vector Federation across Edge Computing Environments
SEEC: Semantic Vector Federation across Edge Computing Environments
Shalisha Witherspoon
Dean Steuer
Graham A. Bent
N. Desai
FedML
11
2
0
30 Aug 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey
Wiebke Toussaint
Aaron Yi Ding
LRM
11
0
0
29 May 2020
Customized Video QoE Estimation with Algorithm-Agnostic Transfer
  Learning
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning
Selim Ickin
M. Fiedler
K. Vandikas
11
3
0
12 Mar 2020
Three Approaches for Personalization with Applications to Federated
  Learning
Three Approaches for Personalization with Applications to Federated Learning
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
FedML
27
563
0
25 Feb 2020
1