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. 2211.10878
  4. Cited By
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics

DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics

20 November 2022
Renjie Pi
Weizhong Zhang
Yueqi Xie
Jiahui Gao
Xiaoyu Wang
Sunghun Kim
Qifeng Chen
    DD
ArXivPDFHTML

Papers citing "DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics"

20 / 20 papers shown
Title
Toward Malicious Clients Detection in Federated Learning
Toward Malicious Clients Detection in Federated Learning
Zhihao Dou
Jiaqi Wang
Wei Sun
Zhuqing Liu
Minghong Fang
AAML
9
0
0
14 May 2025
Federated Learning for Diffusion Models
Zihao Peng
Xijun Wang
Shengbo Chen
Hong Rao
Cong Shen
DiffM
FedML
53
0
0
09 Mar 2025
WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion Models
Tao Feng
Jie Zhang
Xiangjian Li
Rong Huang
Huashan Liu
Zhijie Wang
FedML
57
0
0
05 Mar 2025
Tackling Data Heterogeneity in Federated Time Series Forecasting
Tackling Data Heterogeneity in Federated Time Series Forecasting
Wei Yuan
Guanhua Ye
Xiangyu Zhao
Quoc Viet Hung Nguyen
Yang Cao
Hongzhi Yin
AI4TS
69
0
0
24 Nov 2024
DistDD: Distributed Data Distillation Aggregation through Gradient
  Matching
DistDD: Distributed Data Distillation Aggregation through Gradient Matching
Peiran Wang
Haohan Wang
FedML
DD
26
1
0
11 Oct 2024
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
Xiufang Shi
Wei Zhang
Mincheng Wu
Guangyi Liu
Z. Wen
Shibo He
Tejal Shah
R. Ranjan
DD
FedML
21
1
0
26 Sep 2024
One-Shot Collaborative Data Distillation
One-Shot Collaborative Data Distillation
William Holland
Chandra Thapa
Sarah Ali Siddiqui
Wei Shao
S. Çamtepe
DD
FedML
30
0
0
05 Aug 2024
Dataset Distillation by Automatic Training Trajectories
Dataset Distillation by Automatic Training Trajectories
Dai Liu
Jindong Gu
Hu Cao
Carsten Trinitis
Martin Schulz
DD
23
10
0
19 Jul 2024
Cross-Training with Multi-View Knowledge Fusion for Heterogenous
  Federated Learning
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning
Zhuang Qi
Lei Meng
Weihao He
Ruohan Zhang
Yu Wang
Xin Qi
Xiangxu Meng
FedML
33
4
0
30 May 2024
Model Poisoning Attacks to Federated Learning via Multi-Round
  Consistency
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
Yueqi Xie
Minghong Fang
Neil Zhenqiang Gong
AAML
16
7
0
24 Apr 2024
AST: Effective Dataset Distillation through Alignment with Smooth and
  High-Quality Expert Trajectories
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories
Jiyuan Shen
Wenzhuo Yang
Kwok-Yan Lam
DD
23
1
0
16 Oct 2023
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of
  Things
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
Samiul Alam
Tuo Zhang
Tiantian Feng
Hui Shen
Zhichao Cao
...
JeongGil Ko
Kiran Somasundaram
Shrikanth S. Narayanan
Salman Avestimehr
Mi Zhang
25
11
0
29 Sep 2023
Towards Open Federated Learning Platforms: Survey and Vision from
  Technical and Legal Perspectives
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
24
4
0
05 Jul 2023
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
Tuo Zhang
Tiantian Feng
Samiul Alam
Dimitrios Dimitriadis
Sunwoo Lee
Mi Zhang
Shrikanth S. Narayanan
Salman Avestimehr
FedML
13
27
0
03 Jun 2023
Dataset Distillation: A Comprehensive Review
Dataset Distillation: A Comprehensive Review
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
35
121
0
17 Jan 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
31
87
0
13 Jan 2023
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
Jiahui Gao
Renjie Pi
Yong Lin
Hang Xu
Jiacheng Ye
Zhiyong Wu
Weizhong Zhang
Xiaodan Liang
Zhenguo Li
Lingpeng Kong
SyDa
VLM
57
45
0
25 May 2022
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
85
943
0
03 Feb 2021
Survey of Personalization Techniques for Federated Learning
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
168
324
0
19 Mar 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,698
0
18 Mar 2020
1