research
∙
08/23/2023
A Survey for Federated Learning Evaluations: Goals and Measures
Evaluation is a systematic approach to assessing how well a system achie...
share
research
∙
06/07/2023
UCTB: An Urban Computing Tool Box for Spatiotemporal Crowd Flow Prediction
Spatiotemporal crowd flow prediction is one of the key technologies in s...
research
∙
04/04/2023
A Survey on Vertical Federated Learning: From a Layered Perspective
Vertical federated learning (VFL) is a promising category of federated l...
research
∙
06/28/2022
Secure Forward Aggregation for Vertical Federated Neural Networks
Vertical federated learning (VFL) is attracting much attention because i...
research
∙
08/16/2021
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
Vertical federated learning (VFL) leverages various privacy-preserving a...
research
∙
05/19/2021
Federated Singular Vector Decomposition
With the promulgation of data protection laws (e.g., GDPR in 2018), priv...
research
∙
11/19/2020
FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning
As an innovative solution for privacy-preserving machine learning (ML), ...
research
∙
09/20/2020
Exploring the Generalizability of Spatio-Temporal Crowd Flow Prediction: Meta-Modeling and an Analytic Framework
The Spatio-Temporal Crowd Flow Prediction (STCFP) problem is a classical...
research
∙
06/12/2019
Secure Federated Matrix Factorization
To protect user privacy and meet law regulations, federated (machine) le...
research
∙
07/28/2018
