Search Results for author: Tiffany Tuor

Found 5 papers, 1 papers with code

Asynchronous Collaborative Learning Across Data Silos

no code implementations23 Mar 2022 Tiffany Tuor, Joshua Lockhart, Daniele Magazzeni

Our proposed approach enhances conventional federated learning techniques to make them suitable for this asynchronous training in this intra-organisation, cross-silo setting.

BIG-bench Machine Learning Federated Learning

Continual Learning Without Knowing Task Identities: Rethinking Occam's Razor

no code implementations1 Jan 2021 Tiffany Tuor, Shiqiang Wang, Kin Leung

Due to the catastrophic forgetting phenomenon of deep neural networks (DNNs), models trained in standard ways tend to forget what it has learned from previous tasks, especially when the new task is sufficiently different from the previous ones.

Continual Learning Model Selection

Overcoming Noisy and Irrelevant Data in Federated Learning

no code implementations22 Jan 2020 Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung

A challenge is that among the large variety of data collected at each client, it is likely that only a subset is relevant for a learning task while the rest of data has a negative impact on model training.

Federated Learning

Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems

no code implementations22 May 2019 Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Bong Jun Ko

Monitoring the conditions of these nodes is important for system management purposes, which, however, can be extremely resource demanding as this requires collecting local measurements of each individual node and constantly sending those measurements to a central controller.

Anomaly Detection Distributed Computing +2

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