引用次数
引用: 867
H-指数: 10
I10-指数 : 10
出版物: 21
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
Nicholas D. Lane , Ilias Leontiadis , Stylianos I. Venieris , Mario Almeida
arXiv: Learning
122
2020
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horvath , Stefanos Laskaridis , Mario Almeida , Ilias Leontiadis
arXiv: Learning
63
2021
Dissecting DNS Stakeholders in Mobile Networks
Mario Almeida , Alessandro Finamore , Diego Perino , Narseo Vallina-Rodriguez
conference on emerging network experiment and technology 28 -34
17
2017
RILAnalyzer: a comprehensive 3G monitor on your phone
Narseo Vallina-Rodriguez , Andrius Auçinas , Mario Almeida , Yan Grunenberger
internet measurement conference 257 -264
42
2013
CHIMP: Crowdsourcing Human Inputs for Mobile Phones
Mario Almeida , Muhammad Bilal , Alessandro Finamore , Ilias Leontiadis
the web conference 45 -54
12
2018
A Family of Droids-Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis
Lucky Onwuzurike , Mario Almeida , Enrico Mariconti , Jeremy Blackburn
conference on privacy security and trust 1 -10
15
2018
C3PO: Computation Congestion Control (PrOactive)
Liang Wang , Mario Almeida , Jeremy Blackburn , Jon Crowcroft
conference on information-centric networking 231 -236
7
2016
Federated mobile sensing for activity recognition
Stefanos Laskaridis , Dimitris Spathis , Mario Almeida
Smpte Journal 858 -859
1
2021
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices
Mario Almeida , Stefanos Laskaridis , Ilias Leontiadis , Stylianos I Venieris
2019 3rd International Workshop on Embedded and Mobile Deep Learning (EMDL), MobiSys
72
2019
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device
Mario Almeida , Stefanos Laskaridis , Stylianos I Venieris , Ilias Leontiadis
ACM Transactions on Embedded Computing Systems (TECS)
24
2022
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution
Stylianos I Venieris , Mario Almeida , Royson Lee , Nicholas D Lane
IEEE Transactions on Mobile Computing (TMC)
2
2023
Method and system for neural network execution distribution
Mario Almeida , Stefanos Laskaridis , Stylianos Venieris , Ilias Leontiadis
2
2022
Method for super-resolution
Stylianos I Venieris , Mario Almeida , LEE Royson
2023
Method, system and apparatus for federated learning
Stefanos Laskaridis , Samuel Horvath , Mario Almeida , Ilias Leontiadis
2022
Smart at what cost? characterising mobile deep neural networks in the wild
Mario Almeida , Stefanos Laskaridis , Abhinav Mehrotra , Lukasz Dudziak
658 -672
37
2021
SPINN
Stefanos Laskaridis , Stylianos I Venieris , Mario Almeida , Ilias Leontiadis
Proceedings of the 26th Annual International Conference on Mobile Computing and Networking
2
2020
Diffusing Your Mobile Apps: Extending In-Network Function Virtualization to Mobile Function Offloading
Mario Almeida , Liang Wang , Jeremy Blackburn , Konstantina Papagiannaki
arXiv preprint arXiv:1906.06240
2019
DistributedML 2021: Chairs' Welcome Message
Stefanos Laskaridis , Mario Almeida , Jon Crowcroft , Ce Zhang
DistributedML'21: Proceedings of the 2nd ACM International Workshop on Distributed Machine Learning i -i
2021
Stweeler: A Framework for Twitter Bot Analysis
Zafar Gilani , Mario Almeida , Reza Farahbakhsh , Liang Wang
Proceedings of the 25th International Conference Companion on World Wide Web 37 -38
65
2016
Stefanos Laskaridis Ilias Leontiadis Stylianos I. Venieris Nicholas Lane Jon Crowcroft Samuel Horvath Liang Wang Narseo Vallina-Rodriguez (Ramon y Cajal Fellow) Alessandro Finamore Matteo Varvello Gianluca Stringhini Emiliano De Cristofaro Enrico Mariconti Lucky Onwuzurike Zafar Gilani Diego Perino Yan Grunenberger Konstantina Papagiannaki Muhammad Bilal