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CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with
  Clustered Aggregation and Knowledge DIStilled Regularization
v1v2v3 (latest)

CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization

IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2023
21 February 2023
Nang Hung Nguyen
Duc Long Nguyen
Trong Bang Nguyen
T. Nguyen
H. Pham
Truong Thao Nguyen
Phi Le Nguyen
    FedML
ArXiv (abs)PDFHTMLGithub

Papers citing "CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization"

5 / 5 papers shown
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
D. Nguyen
Trong Nghia Hoang
T. T. Huynh
Quoc Viet Hung Nguyen
Phi Le Nguyen
157
2
0
27 Oct 2025
Federated Intrusion Detection System Based on Unsupervised Machine Learning
Federated Intrusion Detection System Based on Unsupervised Machine Learning
Maxime Gourceyraud
Rim Ben Salem
Christopher Neal
Frédéric Cuppens
Nora Boulahia-Cuppens
180
4
0
28 Mar 2025
FedCert: Federated Accuracy Certification
FedCert: Federated Accuracy CertificationIEEE International Symposium on Network Computing and Applications (NCA), 2024
Minh Hieu Nguyen
Huu Tien Nguyen
Trung Thanh Nguyen
Manh Duong Nguyen
Trong Nghia Hoang
Truong Thao Nguyen
Phi Le Nguyen
FedML
217
7
0
04 Oct 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting
  Challenges and New Solutions
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions
Laiqiao Qin
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
275
24
0
16 Jun 2024
Federated Distillation: A Survey
Federated Distillation: A Survey
Lin Li
Jianping Gou
Baosheng Yu
Lan Du
Zhang Yiand Dacheng Tao
DDFedML
412
28
0
02 Apr 2024
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