Publications by Boi Faltings | EPFL Graph Search

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Rationalization through Concepts

Boi Faltings, Diego Matteo Antognini

Automated predictions require explanations to be interpretable by humans. One type of ex- planation is a rationale, i.e., a selection of in- put features such as relevant text snippets from which the model computes the outcome. How- ever, a single overall ...

2021

Mneme: A Mobile Distributed Ledger

Boi Faltings, Sujit Prakash Gujar, Dimitrios Chatzopoulos

Advances in mobile computing have paved the way for new types of distributed applications that can be executed solely by mobile devices on device-to-device (D2D) ecosystems (e.g., crowdsensing). More sophisticated applications, like cryptocurrencies, need ...

IEEE2020

Efficient Allocations in Constant Time: Towards Scalable Solutions in the Era of Large Scale Intelligent Systems

Boi Faltings, Panayiotis Danassis

The next technological revolution will be interwoven to the proliferation of intelligent systems. As we bridge the gap between physical and cyber worlds, we will give rise to large-scale, multi-agent based technologies. A key challenge that cities of the f ...

IOS PRESS2020

Federated Generative Privacy

Boi Faltings, Aleksei Triastcyn

We propose FedGP, a framework for privacy-preserving data release in the federated learning setting. We use generative adversarial networks, generator components of which are trained by FedAvg algorithm, to draw private artificial data samples and empirica ...

IEEE COMPUTER SOC2020

HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset

Boi Faltings, Diego Matteo Antognini

Today, recommender systems are an inevitable part of everyone's daily digital routine and are present on most internet platforms. State-of-the-art deep learning-based models require a large number of data to achieve their best performance. Many datasets fu ...

EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA2020

GameWikiSum: a Novel Large Multi-Document Summarization Dataset

Boi Faltings, Diego Matteo Antognini

Today's research progress in the field of multi-document summarization is obstructed by the small number of available datasets. Since the acquisition of reference summaries is costly, existing datasets contain only hundreds of samples at most, resulting in ...

EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA2020

Tackling Peer-to-Peer Discrimination in the Sharing Economy

Boi Faltings, Naman Goel, Maxime Rutagarama

Sharing economy platforms such as Airbnb and Uber face a major challenge in the form of peer-to-peer discrimination based on sensitive personal attributes such as race and gender. As shown by a recent study under controlled settings, reputation systems can ...

ACM2020

Multi-Gradient Descent for Multi-Objective Recommender Systems

Boi Faltings, Claudiu-Cristian Musat, Diego Matteo Antognini

Recommender systems need to mirror the complexity of the environment they are applied in. The more we know about what might benefit the user, the more objectives the recommender system has. In addition there may be multiple stakeholders - sellers, buyers, ...

2020

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Rationalization through Concepts

Mneme: A Mobile Distributed Ledger

Efficient Allocations in Constant Time: Towards Scalable Solutions in the Era of Large Scale Intelligent Systems

Federated Generative Privacy

HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset

GameWikiSum: a Novel Large Multi-Document Summarization Dataset

Bayesian Differential Privacy for Machine Learning

Memory Augmented Neural Model for Incremental Session-based Recommendation

Tackling Peer-to-Peer Discrimination in the Sharing Economy

Multi-Gradient Descent for Multi-Objective Recommender Systems

Mneme: A Mobile Distributed Ledger

Efficient Allocations in Constant Time: Towards Scalable Solutions in the Era of Large Scale Intelligent Systems

Federated Generative Privacy

HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset

Memory Augmented Neural Model for Incremental Session-based Recommendation

Tackling Peer-to-Peer Discrimination in the Sharing Economy

Rationalization through Concepts

GameWikiSum: a Novel Large Multi-Document Summarization Dataset

Bayesian Differential Privacy for Machine Learning

Multi-Gradient Descent for Multi-Objective Recommender Systems