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Federated Learning with New Knowledge: Fundamentals, Advances, and
  Futures

Federated Learning with New Knowledge: Fundamentals, Advances, and Futures

3 February 2024
Lixu Wang
Yang Zhao
Jiahua Dong
Ating Yin
Qinbin Li
Xiao Wang
Dusit Niyato
Qi Zhu
    FedML
ArXivPDFHTML

Papers citing "Federated Learning with New Knowledge: Fundamentals, Advances, and Futures"

5 / 5 papers shown
Title
Multi-Source Collaborative Gradient Discrepancy Minimization for
  Federated Domain Generalization
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Yikang Wei
Yahong Han
26
2
0
05 Jan 2024
Anomaly Detection through Unsupervised Federated Learning
Anomaly Detection through Unsupervised Federated Learning
Mirko Nardi
Lorenzo Valerio
A. Passarella
FedML
OOD
32
9
0
09 Sep 2022
SSFL: Tackling Label Deficiency in Federated Learning via Personalized
  Self-Supervision
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Chaoyang He
Zhengyu Yang
Erum Mushtaq
Sunwoo Lee
Mahdi Soltanolkotabi
A. Avestimehr
FedML
51
33
0
06 Oct 2021
CaPC Learning: Confidential and Private Collaborative Learning
CaPC Learning: Confidential and Private Collaborative Learning
Christopher A. Choquette-Choo
Natalie Dullerud
Adam Dziedzic
Yunxiang Zhang
S. Jha
Nicolas Papernot
Xiao Wang
FedML
26
47
0
09 Feb 2021
Self-supervised Cross-silo Federated Neural Architecture Search
Self-supervised Cross-silo Federated Neural Architecture Search
Xinle Liang
Yang Liu
Jiahuan Luo
Yuanqin He
Tianjian Chen
Qiang Yang
FedML
64
16
0
28 Jan 2021
1