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ScionFL: Efficient and Robust Secure Quantized Aggregation
May 11, 2023, 3:30 p.m. |
IACR News www.iacr.org
ePrint Report: ScionFL: Efficient and Robust Secure Quantized Aggregation
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
Secure aggregation is commonly used in federated learning (FL) to alleviate privacy concerns related to the central aggregator seeing all parameter updates in the clear. Unfortunately, most existing secure aggregation schemes ignore two critical orthogonal research directions that aim to (i) significantly reduce client-server communication and~(ii) mitigate the impact of malicious …
aggregation ben christian eprint report federated learning parameter privacy report schneider thomas updates
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