205 citations · 861 across the 59 of their papers we have counts for
12 papers · 1 filter
Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation
Panayiotis Danassis, Marija Sakota, Aris Filos-Ratsikas +1
We study the optimization of large-scale, real-time ridesharing systems and propose a modular design methodology, Component Algorithms for Ridesharing (CAR). We evaluate a diverse…
Federated Learning with Bayesian Differential Privacy
Aleksei Triastcyn, Boi Faltings
We consider the problem of reinforcing federated learning with formal privacy guarantees. We propose to employ Bayesian differential privacy, a relaxation of differential privacy f…
Federated Generative Privacy
Aleksei Triastcyn, Boi Faltings
In this paper, we propose FedGP, a framework for privacy-preserving data release in the federated learning setting. We use generative adversarial networks, generator components of…
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization
Diego Antognini, Boi Faltings
Linking facts across documents is a challenging task, as the language used to express the same information in a sentence can vary significantly, which complicates the task of multi…
An Effective Upperbound on Treewidth Using Partial Fill-in of Separators
Boi Faltings, Martin Charles Golumbic
Partitioning a graph using graph separators, and particularly clique separators, are well-known techniques to decompose a graph into smaller units which can be treated independentl…
Multi-Dimensional Explanation of Target Variables from Documents
Diego Antognini, Claudiu Musat, Boi Faltings
Automated predictions require explanations to be interpretable by humans. Past work used attention and rationale mechanisms to find words that predict the target variable of a docu…