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Principal Investigator, Department of Veterinary Medicine
,
University of Cambridge
2022–
·
VP of Engineering
,
Rain.us
Publications
(16)
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Neural Information Processing Systems · 2021
331
cited
SPINN: synergistic progressive inference of neural networks over device and cloud
ACM/IEEE International Conference on Mobile Computing and Networking · 2020
323
cited
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices
EMDL '19 · 2019
75
cited
Stweeler: A Framework for Twitter Bot Analysis
The Web Conference · 2016
64
cited
Smart at what cost?: characterising mobile deep neural networks in the wild
ACM/SIGCOMM Internet Measurement Conference · 2021
53
cited
RILAnalyzer: a comprehensive 3G monitor on your phone
ACM/SIGCOMM Internet Measurement Conference · 2013
50
cited
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device
ACM Transactions on Embedded Computing Systems · 2021
45
cited
A Family of Droids-Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis
Conference on Privacy, Security and Trust · 2018
41
cited
Dissecting DNS Stakeholders in Mobile Networks
Conference on Emerging Network Experiment and Technology · 2017
29
cited
CHIMP: Crowdsourcing Human Inputs for Mobile Phones
The Web Conference · 2018
25
cited
A Family of Droids: Analyzing Behavioral Model based Android Malware Detection via Static and Dynamic Analysis
arXiv.org · 2018
12
cited
An Empirical Study of Android Alarm Usage for Application Scheduling
Passive and Active Network Measurement Conference · 2016
7
cited
C3PO: Computation Congestion Control (PrOactive)
Information-Centric Networking · 2016
7
cited
Federated mobile sensing for activity recognition
ACM/IEEE International Conference on Mobile Computing and Networking · 2021
5
cited
Diffusing Your Mobile Apps: Extending In-Network Function Virtualization to Mobile Function Offloading
arXiv.org · 2019
Elastic phone: towards detecting and mitigating computation and energy inefficiencies in mobile apps
2018
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Mario Almeida | Researcher Profile | Sotabase | Sotabase