Agenda
Signal Processing Seminar
- Thursday, 22 November 2018
- 13:30-14:30
- HB 17.150
Distributed Convex Optimization: A Monotone Perspective
Thomas ShersonOver the last few decades, methods of parallel and distributed computation have become essential tools in a wide range of applications such as machine learning, wireless sensor network processing and big data signal processing. Motivated by this point and the synergy between signal processing and convex optimization, in this work we demonstrate recent results in the area of distributed optimisation to facilitate such computation. In particular we highlight the primal dual method of multipliers (PDMM), a relatively recent algorithm proposed for distributed optimization. We demonstrate how PDMM can be derived from classic monotone operator theory which in turn provides insight into previously unknown convergence results for the algorithm. Using this insight we generalise PDMM to solve the class of separable problems with separable constraints and analyze how, in the case of strongly convex and smooth functions, the convergence rate of PDMM is influenced by the underlying network topology.
Additional information ...Agenda
- Tue, 30 Apr 2024
- 10:00
- HB18.090
MSc SPS Thesis presentation
Wim Kok
A SystemC SNN model for power trace generation
- Mon, 6 May 2024
- 12:30
- Aula Senaatszaal
PhD Thesis Defence
Christoph Manss
Multi-agent exploration under sparsity constraints
- Tue, 21 May 2024
- 10:00
- Aula Senaatszaal
PhD Thesis Defence
Wangyang Yu
- 27 -- 28 May 2024
- Aula, TU Delft
Conferences
44th Benelux Symposium on Information Theory and Signal Processing (SITB'24, Delft)
- Tue, 18 Jun 2024
- 15:00
- Aula Senaatszaal
PhD Thesis Defence
Hanie Moghaddasi
Model-based feature engineering of atrial fibrillation
- Mon, 24 Jun 2024
- Aula, TU Delft