Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization

1 code implementation • 24 Jan 2022 • Bin Liu, Dimitrios Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas, Apostolos N. Papadopoulos

Moreover, the validation of highly ranked non-interacting pairs also demonstrates the potential of MDMF2A to discover novel DTIs.

Mitigating Leakage in Federated Learning with Trusted Hardware

no code implementations • 10 Nov 2020 • Javad Ghareh Chamani, Dimitrios Papadopoulos

In federated learning, multiple parties collaborate in order to train a global model over their respective datasets.

Federated Learning

Private Hierarchical Clustering and Efficient Approximation

no code implementations • 9 Apr 2019 • Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos

In collaborative learning, multiple parties contribute their datasets to jointly deduce global machine learning models for numerous predictive tasks.

Clustering Privacy Preserving

SecureBoost: A Lossless Federated Learning Framework

1 code implementation • 25 Jan 2019 • Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang

This federated learning system allows the learning process to be jointly conducted over multiple parties with common user samples but different feature sets, which corresponds to a vertically partitioned data set.

BIG-bench Machine Learning Entity Alignment +2