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Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning
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Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning

Haizhou Shi
Youcai Zhang
Zijin Shen
Siliang Tang
Yaqian Li
Yandong Guo
Yueting Zhuang
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Papers citing "Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning"

5 / 5 papers shown
Title
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
143
11
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
194
17
0
02 Apr 2024
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and AlgorithmNeural Information Processing Systems (NeurIPS), 2023
Haizhou Shi
Hao Wang
CLL
169
35
0
18 Oct 2023
Towards Efficient Communications in Federated Learning: A Contemporary Survey
Towards Efficient Communications in Federated Learning: A Contemporary SurveyJournal of the Franklin Institute (JFI), 2022
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
192
65
0
02 Aug 2022
Contrastive Representation Distillation
Contrastive Representation DistillationInternational Conference on Learning Representations (ICLR), 2019
Yonglong Tian
Dilip Krishnan
Phillip Isola
783
1,173
0
23 Oct 2019

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