Talks

Machine Learning in Real World Host: University of Victoria, Canada, Dec. 2024.

Machine Learning in Real World Host: Oslo Centre for Biostatistics and Epidemiology, Norway, Nov. 2024.

Learning under Resource Constraints in Real World Host: University of Toronto, Canada, Oct. 2023.

Learning under Resource Constraints in Real World Host: University of Copenhagen, Denmark, Sep. 2023.

Learning under Resource Constraints in Real World Host: Norwegian Center for Knowledge-driven Machine Learning (Integreat), Norway, Sep. 2023.

Scalable and Robust Deep Learning Host: Visual Intelligence, Norway, Mar. 2023.

Randomization Improves Deep Learning Security Host: Annual Workshop of the VILLUM Investigator Grant, Dec. 2022.

How Did DL Dominate Today’s ML? What Challenges and Limitations Remain? Host: School of Informatics, University of Oslo, Norway, Aug. 2022.

Scalable ML: Communication-efficiency, Security, and Architecture Design Host: School of Informatics, University of Edinburgh, UK, June 2022.

Scalable ML: Communication-efficiency, Security, and Architecture Design Host: Department of Computer Science, Concordia University, Mar. 2022.

Scalable ML: Communication-efficiency, Security, and Architecture Design Host: Department of Mathematical Statistics, Umea University, Sweden, Feb. 2022.

Scalable ML: Communication-e ciency, Security, and Architecture Design Host: Department of Computer Science, University of Liverpool, UK, Feb. 2022.

Scalable ML: Communication-efficiency, Security, and Architecture Design Host: Concordia Institute for Information Systems Engineering, Canada, Feb. 2022.

SGD on Distributed Systems Host: IMDEA Institute, Spain, Feb. 2021.

Adaptive Gradient Quantization for SGD Host: Federated Learning One World Seminar, Dec. 2020.

SGD on Distributed Systems and Communication-efficient SGD Host: University of Guelph, Canada, Aug. 2020.

SGD on Distributed Systems and Communication-efficient SGD Host: University of Windsor, Windsor, Canada, Mar. 2020.

From Communication-efficient SGD to Machine Learning for IoT Host: Aalborg University, Aalborg, Denmark, Dec. 2019.

From Interaction of Convergence, Generalization, and Communication to Machine Learning for IoT Host: University of Bergen, Bergen, Norway, Dec. 2019.

Stochastic Gradient Compression Schemes for Communication-efficient SGD Host: EPFL, Lausanne, Switzerland, July 2019.

Stochastic Gradient Compression Schemes for Communication-efficient SGD Host: Instituto Superior T$\acute{\text{e}}$cnico, Lisbon, Portugal, July 2019.

From Interference Control for IoT Ecosystem with D2D Communication to Communication-efficient Variants of SGD Host: University of Manitoba, Winnipeg, Canada, Apr. 2019.

Stability of Stochastic Gradient Method with Momentum for Strongly Convex Loss Functions Host: Vector Institute, Toronto, Canada, Aug. 2018.

Stability of Stochastic Gradient Method with Momentum for Strongly Convex Loss Functions Host: IT @ UoT Seminar, Toronto, Canada, July 2018.

Interference control for IoT Ecosystem with D2D Communication Host: T$\acute{\text{e}}$l$\acute{\text{e}}$com ParisTech, Paris, France, May 2018.