Reconciling Utility with Privacy in Genomics

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Distributed learning is the key for enabling training of modern large-scale machine learning models, through parallelising the learning process. Collaborative learning is essential for learning from privacy-sensitive data that is distributed across various ...

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Reconciling Utility with Privacy in Genomics

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A Path-Based Model for Aberration Correction in Ultrasound Imaging

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Single-mitosis dissection of acute and chronic DNA mutagenesis and repair

Genome sequences of Vibrio cholerae strains isolated in the DRC between 2009 and 2012

Ancestral genome reconstruction enhances transposable element annotation by identifying degenerate integrants

Differentially private multi-agent constraint optimization

The cost of adaptability: resource availability constrains functional stability under pulsed disturbances

The microbial genomics of glacier-fed streams: adaptations to an extreme ecosystem

Comparison of Three Viral Nucleic Acid Preamplification Pipelines for Sewage Viral Metagenomics

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

A ride time-oriented scheduling algorithm for dial-a-ride problems

The Privacy Power of Correlated Noise in Decentralized Learning

A Privacy-Preserving Querying Mechanism with High Utility for Electric Vehicles

The effect of smooth parametrizations on nonconvex optimization landscapes

Scalable constrained optimization

Reconstruction and analysis of genome-scale metabolic networks in single organisms and microbial communities

BENIGN LANDSCAPES OF LOW-DIMENSIONAL RELAXATIONS FOR ORTHOGONAL SYNCHRONIZATION ON GENERAL GRAPHS

The dynamic genetic determinants of increased transcriptional divergence in spermatids

Development of multiplexed single-molecule imaging techniques to study chromatin invasion dynamics of chromatin effector proteins

Exact Algorithms for Continuous Pricing with Advanced Discrete Choice Demand Models