WAFFLe: Weight Anonymized Factorization for Federated Learning
Author:
Affiliation:
1. Duke University, Durham, NC, USA
2. SOC Research and Development, Samsung Semiconductor Incorporation (SSI), San Diego, CA, USA
3. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Funder
SOC Research and Development of Samsung Semiconductor Incorporation, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09770028.pdf?arnumber=9770028
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5. Learning Rate Optimization for Federated Learning Exploiting Over-the-Air Computation
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