activity
20162021
most citedSPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud

296 citations · 376 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG20215 cited

Smart at what cost? Characterising Mobile Deep Neural Networks in the wild

Mario Almeida, Stefanos Laskaridis, Abhinav Mehrotra +3

With smartphones' omnipresence in people's pockets, Machine Learning (ML) on mobile is gaining traction as devices become more powerful. With applications ranging from visual filte…

cs.LG2020296 cited

SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud

Stefanos Laskaridis, Stylianos I. Venieris, Mario Almeida +2

Despite the soaring use of convolutional neural networks (CNNs) in mobile applications, uniformly sustaining high-performance inference on mobile has been elusive due to the excess…

cs.DC2019

Diffusing Your Mobile Apps: Extending In-Network Function Virtualization to Mobile Function Offloading

Mario Almeida, Liang Wang, Jeremy Blackburn +2

Motivated by the huge disparity between the limited battery capacity of user devices and the ever-growing energy demands of modern mobile apps, we propose INFv. It is the first off…

cs.LG201975 cited

EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices

Mario Almeida, Stefanos Laskaridis, Ilias Leontiadis +2

In recent years, advances in deep learning have resulted in unprecedented leaps in diverse tasks spanning from speech and object recognition to context awareness and health monitor…

cs.CR2018

A Family of Droids -- Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis

Lucky Onwuzurike, Mario Almeida, Enrico Mariconti +3

Following the increasing popularity of mobile ecosystems, cybercriminals have increasingly targeted them, designing and distributing malicious apps that steal information or cause…

cs.NI2016

C3PO: Computation Congestion Control (PrOactive) - an algorithm for dynamic diffusion of ephemeral in-network services

Liang Wang, Mario Almeida, Jeremy Blackburn +1

There is an obvious trend that more and more data and computation are migrating into networks nowadays. Combining mature virtualization technologies with service-centric net- worki…