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Refereed International Conference PosterPrivacy Authority-Aware Compiler for Homomorphic Encryption on Edge-Cloud [abstract]
For privacy preserving cloud computing, fully homomorphic encryption (FHE)
is a promising solution by allowing cloud servers to compute on encrypted
data without decryption. However, its programming burden on ciphertext
management and huge latency of FHE operations limit its applicability.
Recently proposed FHE compilers automate the ciphertext management,
but they transform all the data into ciphertexts without filtering
private data, thus increasing unnecessary FHE operations. Moreover,
the compilers transform the entire program into an FHE program without
partitioning, while computation on edges without encryption for private
data can reduce the overall latency. This work introduces a new data type
system, called privacy-set (PSet), that annotates devices with privacy
authority for each private data. Moreover, this work proposes a new privacy
authority-aware compiler, called PSet compiler that automatically transforms
a PSet-annotated plain program into FHE-enabled edge-cloud cooperative program
with operation latency- and communication-aware partitioning. This work
evaluates the PSet compiler with six machine learning and deep learning
applications and shows that the PSet compiler achieves 3.77 times faster than the
existing FHE compiler without the partitioning support.
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