SparseBatch: Communication-efficient Federated Learning with Partially Homomorphic Encryption

SparseBatch: Communication-efficient Federated Learning with Partially Homomorphic Encryption

Cross-silo federated learning (FL) enables collaborative model training among various organizations (e.g., financial or medical). It operates by aggregating local gradient updates contributed by participating clients, all the while safeguarding the privacy of sensitive data. Industrial FL framework...

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Bibliographic Details
Main Authors: Chong Wang, Jing Wang, Zheng Lou, Linghai Kong, WeiSong Tao, Yun Wang
Format: Article
Language:English
Published: Tamkang University Press 2025-01-01
Series:Journal of Applied Science and Engineering
Subjects:
homomorphic encryption
federated learning
gradient sparsification
gradient quantization
lion optimizer
Online Access:http://jase.tku.edu.tw/articles/jase-202508-28-08-0003
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http://jase.tku.edu.tw/articles/jase-202508-28-08-0003

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