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- research-articleNovember 2023
Falkor: Federated Learning Secure Aggregation Powered by AESCTR GPU Implementation
WAHC '23: Proceedings of the 11th Workshop on Encrypted Computing & Applied Homomorphic CryptographyPages 11–22https://doi.org/10.1145/3605759.3625261We propose a novel protocol, Falkor, for secure aggregation for Federated Learning in the multi-server scenario based on masking of local models via a stream cipher based on AES in counter mode and accelerated by GPUs running on the aggregating servers. ...
- research-articleSeptember 2016
Reduction Drawing: Language Constructs and Polyhedral Compilation for Reductions on GPU
PACT '16: Proceedings of the 2016 International Conference on Parallel Architectures and CompilationPages 87–97https://doi.org/10.1145/2967938.2967950Reductions are common in scientific and data-crunching codes, and a typical source of bottlenecks on massively parallel architectures such as GPUs. Reductions are memory-bound, and achieving peak performance involves sophisticated optimizations. There ...