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. 2104.00365
  4. Cited By
Federated Few-Shot Learning with Adversarial Learning

Federated Few-Shot Learning with Adversarial Learning

1 April 2021
Chenyou Fan
Jianwei Huang
    FedML
ArXivPDFHTML

Papers citing "Federated Few-Shot Learning with Adversarial Learning"

6 / 6 papers shown
Title
FedCRL: Personalized Federated Learning with Contrastive Shared
  Representations for Label Heterogeneity in Non-IID Data
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data
Chenghao Huang
Xiaolu Chen
Yanru Zhang
Hao Wang
FedML
43
1
0
27 Apr 2024
Low-Parameter Federated Learning with Large Language Models
Low-Parameter Federated Learning with Large Language Models
Jing Jiang
Xiangyang Liu
Chenyou Fan
33
24
0
26 Jul 2023
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP
  Tasks
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks
Weilong Dong
Xinwei Wu
Junzhuo Li
Shuangzhi Wu
Chao Bian
Deyi Xiong
FedML
34
6
0
16 Dec 2022
Towards Practical Few-shot Federated NLP
Towards Practical Few-shot Federated NLP
Dongqi Cai
Yaozong Wu
Haitao Yuan
Shangguang Wang
F. Lin
Mengwei Xu
FedML
47
6
0
01 Dec 2022
Meta Knowledge Condensation for Federated Learning
Meta Knowledge Condensation for Federated Learning
Ping Liu
Xin Yu
Qiufeng Wang
DD
FedML
35
28
0
29 Sep 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
520
11,727
0
09 Mar 2017
1