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. 2207.10727
  4. Cited By
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer

Federated Semi-Supervised Domain Adaptation via Knowledge Transfer

21 July 2022
Madhureeta Das
Xianhao Chen
Xiaoyong Yuan
Lan Zhang
ArXivPDFHTML

Papers citing "Federated Semi-Supervised Domain Adaptation via Knowledge Transfer"

7 / 7 papers shown
Title
Multi-Gradient Descent for Multi-Objective Recommender Systems
Multi-Gradient Descent for Multi-Objective Recommender Systems
Nikola Milojković
Diego Antognini
Giancarlo Bergamin
Boi Faltings
C. Musat
42
46
0
09 Dec 2019
On the Efficacy of Knowledge Distillation
On the Efficacy of Knowledge Distillation
Ligang He
Rui Mao
70
603
0
03 Oct 2019
Federated Machine Learning: Concept and Applications
Federated Machine Learning: Concept and Applications
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
FedML
50
2,297
0
13 Feb 2019
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
44
2,002
0
10 Feb 2018
Unifying distillation and privileged information
Unifying distillation and privileged information
David Lopez-Paz
Léon Bottou
Bernhard Schölkopf
V. Vapnik
FedML
92
460
0
11 Nov 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
343
9,418
0
28 May 2015
Learning with Augmented Features for Heterogeneous Domain Adaptation
Learning with Augmented Features for Heterogeneous Domain Adaptation
Lixin Duan
Dong Xu
Ivor Tsang
60
343
0
18 Jun 2012
1