Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption
Aiming at the communication bottleneck problem when the current federated learning security aggregation algorithm was applied in a complex network environment, an adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption was proposed.While protecting gradient pr...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2023-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023140/ |
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| _version_ | 1841540051184386048 |
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| author | Zhuo MA Jiayu JIN Yilong YANG Yang LIU Zuobin YING Teng LI Junwei ZHANG |
| author_facet | Zhuo MA Jiayu JIN Yilong YANG Yang LIU Zuobin YING Teng LI Junwei ZHANG |
| author_sort | Zhuo MA |
| collection | DOAJ |
| description | Aiming at the communication bottleneck problem when the current federated learning security aggregation algorithm was applied in a complex network environment, an adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption was proposed.While protecting gradient privacy, users adaptively compress gradients based on the current available bandwidth, greatly reduced communication overhead for federated users.Furthermore, the new dynamic decryption task distribution algorithm and gradient combination algorithm were designed in the phase of aggregation gradient decryption, which relieved the user’s uplink communication pressure.The experimental results show that the proposed scheme can sharply reduce the amount of communication to 4% compared with the existing federated learning scheme with a trivial model accuracy loss of 1%. |
| format | Article |
| id | doaj-art-7a40722dd1724b3fa662b877422c55ac |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-7a40722dd1724b3fa662b877422c55ac2025-01-14T06:22:16ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-07-0144768559383888Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryptionZhuo MAJiayu JINYilong YANGYang LIUZuobin YINGTeng LIJunwei ZHANGAiming at the communication bottleneck problem when the current federated learning security aggregation algorithm was applied in a complex network environment, an adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption was proposed.While protecting gradient privacy, users adaptively compress gradients based on the current available bandwidth, greatly reduced communication overhead for federated users.Furthermore, the new dynamic decryption task distribution algorithm and gradient combination algorithm were designed in the phase of aggregation gradient decryption, which relieved the user’s uplink communication pressure.The experimental results show that the proposed scheme can sharply reduce the amount of communication to 4% compared with the existing federated learning scheme with a trivial model accuracy loss of 1%.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023140/federated learningsecure aggregationgradient samplingthreshold homomorphic encryption |
| spellingShingle | Zhuo MA Jiayu JIN Yilong YANG Yang LIU Zuobin YING Teng LI Junwei ZHANG Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption Tongxin xuebao federated learning secure aggregation gradient sampling threshold homomorphic encryption |
| title | Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption |
| title_full | Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption |
| title_fullStr | Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption |
| title_full_unstemmed | Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption |
| title_short | Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption |
| title_sort | adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption |
| topic | federated learning secure aggregation gradient sampling threshold homomorphic encryption |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023140/ |
| work_keys_str_mv | AT zhuoma adaptivefederatedlearningsecureaggregationschemebasedonthresholdhomomorphicencryption AT jiayujin adaptivefederatedlearningsecureaggregationschemebasedonthresholdhomomorphicencryption AT yilongyang adaptivefederatedlearningsecureaggregationschemebasedonthresholdhomomorphicencryption AT yangliu adaptivefederatedlearningsecureaggregationschemebasedonthresholdhomomorphicencryption AT zuobinying adaptivefederatedlearningsecureaggregationschemebasedonthresholdhomomorphicencryption AT tengli adaptivefederatedlearningsecureaggregationschemebasedonthresholdhomomorphicencryption AT junweizhang adaptivefederatedlearningsecureaggregationschemebasedonthresholdhomomorphicencryption |