… In our proposed ker-HE scheme kernel function and kernel homomorphism are used to … we
apply functions (like kernel function and kernel homomorphism) to provide the efficient size of …

… GPU kernels, … kernel is implemented using the conventional method as in many other works
in the literature, we propose a novel algorithm for the implementation of the first GPU kernel (…

… a homomorphic encryption scheme refers to an encryption … ciphertexts without the knowledge
of the encryption key: . If the … The operation of the first kernel is similar to the first kernel in …

Fully Homomorphic Encryption (FHE) is a powerful cryptographic primitive that enables
performing computations over encrypted data without having access to the secret key. We …

… For example, there are already many applications of homomorphic encryption in the IoT
combined with cloud computing. Users store the encrypted data in the cloud, and the decryption …

… The design for this work consists of an autonomous protocol, hospital servers combining
multiple prime/local hospitals, and an algorithm based on fast fully homomorphic encryption …

… kernels, providing a broader spectrum of kernel-based learning tasks using homomorphic
encryption… FHSVM’s strengths in efficiently handling linear and polynomial kernels are retained…

… We evaluate Porcupine using a set of kernels and show speedups of up to 52% (25% …
procedure that automates and optimizes the mapping and scheduling of plaintext kernels to HE …

… a novel kernel homomorphic encryption technique … kernel HE method. The Ker-HE strategy
was utilized to reduce the quantity of sounds by employing kernel and kernel homomorphism. …

… Thus many practical algorithms bypass bootstrapping and instead use leveled homomorphic
encryption, or LHE—the depth of the circuit is pre-determined; it uses just enough …