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Quantum Computing Systems
Distributed Machine Learning
Data Management

Current Team
Alumni

Tags

Federated-Learning

Pages in this section

A Survey on Efficient Federated Learning Methods for Foundation Model Training Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly Federated Learning and AI Regulation in the European Union: Who is Responsible? – An Interdisciplinary Analysis Federated Learning Priorities Under the European Union Artificial Intelligence Act FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems

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Research on data systems, distributed learning infrastructure, and quantum computing systems at the University of Toronto.

Research

Quantum Computing Systems
Distributed Machine Learning
Data Management

Recent publications

A user-tunable machine learning framework for step-wise synthesis planning
Adversarial Robustness in Distributed Quantum Machine Learning
Analyzing Initialization Strategies for the Local Unitary Cluster Jastrow Ansatz within the Quantum-Centric Supercomputing Framework
Beyond Message Passing: Modern GNN Architectures for Online Planner Selection

Contact

Bahen Centre, University of Toronto

jacobsen [at] eecg [dot] utoronto [dot] ca

+1 416 946 7586

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