SoteriaFL: A unified framework for private federated learning with communication compression
To enable large-scale machine learning in bandwidth-hungry environments such as wireless networks, significant progress has been made recently in designing communication-efficient federated learning algorithms with the aid of communication compression. On the other end, privacy-preserving, especiall...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2022
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8688 https://ink.library.smu.edu.sg/context/sis_research/article/9691/viewcontent/NeurIPS22_full_soteriafl.pdf |
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| Institution: | Singapore Management University |
| Language: | English |