FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning

Author:

Zheng Longfei1ORCID,Liu Yingting2ORCID,Xu Xiaolong2ORCID,Chen Chaochao3ORCID,Tang Yuzhou4ORCID,Wang Lei2ORCID,Hu Xiaolong2ORCID

Affiliation:

1. Ant Group, Beijing, China

2. Ant Group, Hangzhou, China

3. Zhejiang University, Hangzhou, China

4. Ant Group, Chengdu, China

Publisher

ACM

Reference46 articles.

1. Martín Abadi , Ashish Agarwal , Paul Barham , Eugene Brevdo , Zhifeng Chen , Craig Citro , Greg S Corrado , Andy Davis , Jeffrey Dean , Matthieu Devin , 2016 . Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467 (2016). Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. 2016. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467 (2016).

2. Idan Achituve , Aviv Shamsian , Aviv Navon , Gal Chechik , and Ethan Fetaya . 2021. Personalized Federated Learning with Gaussian Processes. Advances in Neural Information Processing Systems 34 ( 2021 ). Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, and Ethan Fetaya. 2021. Personalized Federated Learning with Gaussian Processes. Advances in Neural Information Processing Systems 34 (2021).

3. Evaluating the Communication Efficiency in Federated Learning Algorithms

4. Jeremy Bernstein , Yu-Xiang Wang , Kamyar Azizzadenesheli , and Animashree Anandkumar . 2018 . signSGD: Compressed optimisation for non-convex problems . In International Conference on Machine Learning. PMLR, 560--569 . Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, and Animashree Anandkumar. 2018. signSGD: Compressed optimisation for non-convex problems. In International Conference on Machine Learning. PMLR, 560--569.

5. Daniel J Beutel , Taner Topal , Akhil Mathur , Xinchi Qiu , Titouan Parcollet , Pedro PB de Gusmão, and Nicholas D Lane . 2020 . Flower : A friendly federated learning research framework. arXiv preprint arXiv:2007.14390 (2020). Daniel J Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, Pedro PB de Gusmão, and Nicholas D Lane. 2020. Flower: A friendly federated learning research framework. arXiv preprint arXiv:2007.14390 (2020).

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