Decentralized Bilevel Optimization for Personalized Client Learning

Author:

Lu Songtao1,Cui Xiaodong1,Squillante Mark S.1,Kingsbury Brian1,Horesh Lior1

Affiliation:

1. Thomas J. Watson Research Center,IBM Research,New York,USA,10598

Publisher

IEEE

Reference29 articles.

1. Debiasing model updates for improving personalized federated training;acar;Proc of International Conference on Machine Learning (ICML-05),2021

2. Dif-MAML: Decentralized multi-agent meta-learning;kayaalp;arXiv preprint arXiv 2010 00170,2020

3. Rapid learning or feature reuse? towards understanding the effectiveness of MAML;raghu;Proc of International Conference on Learning Representations (ICLR),2020

4. Convergence of meta-learning with task-specific adaptation over partial parameters;ji;Proc of Advances in Neural Information Processing Systems (NeurIPS),2020

5. Approximation methods for bilevel programming;ghadimi;arXiv preprint arXiv 1802 02172,2018

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