Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI)
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference
Secure two-party computation with homomorphic encryption (HE) protects data privacy with
a formal security guarantee but suffers from high communication overhead. While previous …
a formal security guarantee but suffers from high communication overhead. While previous …
PrivCirNet: Efficient Private Inference via Block Circulant Transformation
Homomorphic encryption (HE)-based deep neural network (DNN) inference protects data
and model privacy but suffers from significant computation overhead. We observe …
and model privacy but suffers from significant computation overhead. We observe …