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Learning Federated Representations and Recommendations with Limited
  Negatives

Learning Federated Representations and Recommendations with Limited Negatives

18 August 2021
Lin Ning
K. Singhal
Ellie X. Zhou
Sushant Prakash
    FedML
ArXivPDFHTML

Papers citing "Learning Federated Representations and Recommendations with Limited Negatives"

4 / 4 papers shown
Title
User-LLM: Efficient LLM Contextualization with User Embeddings
User-LLM: Efficient LLM Contextualization with User Embeddings
Lin Ning
Luyang Liu
Jiaxing Wu
Neo Wu
D. Berlowitz
Sushant Prakash
Bradley Green
S. O’Banion
Jun Xie
49
33
0
21 Feb 2024
FedCL: Federated Contrastive Learning for Privacy-Preserving
  Recommendation
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
Xing Xie
FedML
16
15
0
21 Apr 2022
Robust Convergence in Federated Learning through Label-wise Clustering
Robust Convergence in Federated Learning through Label-wise Clustering
Hunmin Lee
Yueyang Liu
Donghyun Kim
Yingshu Li
FedML
22
1
0
28 Dec 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
1