203 citations · 296 across the 21 of their papers we have counts for
6 papers · 1 filter
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence
Vasileios Perifanis, George Drosatos, Giorgos Stamatelatos +1
With the growing number of Location-Based Social Networks, privacy preserving location prediction has become a primary task for helping users discover new points-of-interest (POIs)…
An Exact, Linear Time Barabási-Albert Algorithm
Giorgos Stamatelatos, Pavlos S. Efraimidis
This paper presents the development of a new class of algorithms that accurately implement the preferential attachment mechanism of the Barabási-Albert (BA) model to generate scale…
Federated Neural Collaborative Filtering
Vasileios Perifanis, Pavlos S. Efraimidis
In this work, we present a federated version of the state-of-the-art Neural Collaborative Filtering (NCF) approach for item recommendations. The system, named FedNCF, enables learn…
Exploring Ethereum's Data Stores: A Cost and Performance Comparison
P. Kostamis, A. Sendros, P. S. Efraimidis
The cost of using a blockchain infrastructure as well as the time required to search and retrieve information from it must be considered when designing a decentralized application.…
Lexicographic Enumeration of Set Partitions
Giorgos Stamatelatos, Pavlos S. Efraimidis
In this report, we summarize the set partition enumeration problems and thoroughly explain the algorithms used to solve them. These algorithms iterate through the partitions in lex…
About Weighted Random Sampling in Preferential Attachment Models
Giorgos Stamatelatos, Pavlos S. Efraimidis
The Barabási-Albert model is a popular scheme for creating scale-free graphs but has been previously shown to have ambiguities in its definition. In this paper we discuss a new amb…