Publication

TEE-based decentralized recommender systems: The raw data sharing redemption

Publications associées (41)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

TEE-based decentralized recommender systems: The raw data sharing redemption

Graph Chatbot

Chattez avec Graph Search

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Crowding reveals fundamental differences in local vs. global processing in humans and machines

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Memory Augmented Neural Model for Incremental Session-based Recommendation

Memory Augmented Neural Model for Incremental Session-based Recommendation

HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Crowding reveals fundamental differences in local vs. global processing in humans and machines

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

Memory Augmented Neural Model for Incremental Session-based Recommendation

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Memory Augmented Neural Model for Incremental Session-based Recommendation

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset