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Computer Science
P-Fed AVG
Yipeng Zhou outlines what Federated Learning (FL) and FedAVG is and the the bottlenecks of naive FL. Image…
Predicting stock market trends using machine learning algorithms
Stock market trends can be affected by external factors such as public sentiment and political events. Mustansar Ali…
To Allow, or Deny?
Panagiotis Andriotis discusses how installed apps on Android devices are able to employ the systems’ public assets and extract users’…
Fake News in an Era of Social Media: Tracking Viral Contagion
Over the last few years, social media has expanded to become a key platform for news dissemination and…
The Hiring Gambit: In Search of the Twofer Data Scientist
Radu Craiu discusses generating new methods motivated by cross-disciplinary collaborations between scientists and statisticians.
A novel bibliometric index with a simple geometric interpretation
Researchers from Birkbeck’s Department of Computer Science and Information Systems have proposed an innovative new index to measure…
Capacity Upper Bounds for Deletion-Type Channels
Mahdi Cheraghchi discusses the systematic approach, based on convex programming and real analysis, for obtaining upper bounds on…
Experience Driven Design of Creative Systems
Matthew Yee-King describes the novel application of grounded theory to the analysis of a human/machine music performance. Rather than…
Constructionist Learning for Student Coders
For the last decade, there has been growing interest in the STEAM approach (essentially combining methods and practices…
Modal Learning in a Neural Network
Dominic Palmer-Brown presents an application of the snap-drift modal learning algorithm developed in recent years by Lee and…
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