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Oral (10 min)
- Understanding Memorization from the Perspective of Optimization via Efficient Influence Estimation, Futong Liu
Spotlights (5 min)
Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm for All Personalization Modes, Abdurakhmon Sadiev
Fast, Exact Subsampled Natural Gradients and First-Order KFAC, Frederik Benzing
Spherical Perspective on Learning with Normalization Layers, Simon Roburin
There will be a Q&A in the last 5 minutes for all speakers. Abstracts for the talks are below the schedule.
Author Information
Sebastian Stich (CISPA)
Dr. [Sebastian U. Stich](https://sstich.ch/) is a faculty at the CISPA Helmholtz Center for Information Security. Research interests: - *methods for machine learning and statistics*—at the interface of theory and practice - *collaborative learning* (distributed, federated and decentralized methods) - *optimization for machine learning* (adaptive stochastic methods and generalization performance)
Futong Liu (EPFL)
Abdurakhmon Sadiev (Moscow Institute of Physics and Technology)
Frederik Benzing (ETH Zurich)
Simon Roburin (ENPC; valeo.ai)
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2021 : Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm for All Personalization Modes »
Abdurakhmon Sadiev · Ekaterina Borodich · Darina Dvinskikh · Aleksandr Beznosikov · Alexander Gasnikov -
2021 : Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm for All Personalization Modes »
Abdurakhmon Sadiev · Ekaterina Borodich · Darina Dvinskikh · Aleksandr Beznosikov · Alexander Gasnikov -
2021 : Spherical Perspective on Learning with Normalization Layers »
Simon Roburin · Yann de Mont-Marin · Andrei Bursuc · Renaud Marlet · Patrick Pérez · Mathieu Aubry -
2021 : Spherical Perspective on Learning with Normalization Layers »
Simon Roburin · Yann de Mont-Marin · Andrei Bursuc · Renaud Marlet · Patrick Pérez · Mathieu Aubry -
2021 : Fast, Exact Subsampled Natural Gradients and First-Order KFAC »
Frederik Benzing -
2021 : Fast, Exact Subsampled Natural Gradients and First-Order KFAC »
Frederik Benzing -
2021 : Escaping Local Minima With Stochastic Noise »
Harshvardhan Harshvardhan · Sebastian Stich -
2021 : Understanding Memorization from the Perspective of Optimization via Efficient Influence Estimation »
Futong Liu · Tao Lin · Martin Jaggi -
2021 : Understanding Memorization from the Perspective of Optimization via Efficient Influence Estimation »
Futong Liu · Tao Lin · Martin Jaggi -
2021 : Decentralized Personalized Federated Min-Max Problems »
Ekaterina Borodich · Aleksandr Beznosikov · Abdurakhmon Sadiev · Vadim Sushko · Alexander Gasnikov -
2021 : The Peril of Popular Deep Learning Uncertainty Estimation Methods »
Yehao Liu · Matteo Pagliardini · Tatjana Chavdarova · Sebastian Stich -
2022 : Random initialisations performing above chance and how to find them »
Frederik Benzing · Simon Schug · Robert Meier · Johannes von Oswald · Yassir Akram · Nicolas Zucchet · Laurence Aitchison · Angelika Steger -
2022 Spotlight: Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox »
Abdurakhmon Sadiev · Dmitry Kovalev · Peter Richtarik -
2022 Spotlight: Optimal Algorithms for Decentralized Stochastic Variational Inequalities »
Dmitry Kovalev · Aleksandr Beznosikov · Abdurakhmon Sadiev · Michael Persiianov · Peter Richtarik · Alexander Gasnikov -
2022 Spotlight: Lightning Talks 4A-1 »
Jiawei Huang · Su Jia · Abdurakhmon Sadiev · Ruomin Huang · Yuanyu Wan · Denizalp Goktas · Jiechao Guan · Andrew Li · Wei-Wei Tu · Li Zhao · Amy Greenwald · Jiawei Huang · Dmitry Kovalev · Yong Liu · Wenjie Liu · Peter Richtarik · Lijun Zhang · Zhiwu Lu · R Ravi · Tao Qin · Wei Chen · Hu Ding · Nan Jiang · Tie-Yan Liu -
2021 : Poster Session 1 (gather.town) »
Hamed Jalali · Robert Hönig · Maximus Mutschler · Manuel Madeira · Abdurakhmon Sadiev · Egor Shulgin · Alasdair Paren · Pascal Esser · Simon Roburin · Julius Kunze · Agnieszka Słowik · Frederik Benzing · Futong Liu · Hongyi Li · Ryotaro Mitsuboshi · Grigory Malinovsky · Jayadev Naram · Zhize Li · Igor Sokolov · Sharan Vaswani -
2021 : Opening Remarks to Session 1 »
Sebastian Stich -
2021 Workshop: OPT 2021: Optimization for Machine Learning »
Courtney Paquette · Quanquan Gu · Oliver Hinder · Katya Scheinberg · Sebastian Stich · Martin Takac -
2021 Poster: Breaking the centralized barrier for cross-device federated learning »
Sai Praneeth Karimireddy · Martin Jaggi · Satyen Kale · Mehryar Mohri · Sashank Reddi · Sebastian Stich · Ananda Theertha Suresh -
2021 Poster: RelaySum for Decentralized Deep Learning on Heterogeneous Data »
Thijs Vogels · Lie He · Anastasiia Koloskova · Sai Praneeth Karimireddy · Tao Lin · Sebastian Stich · Martin Jaggi -
2021 Poster: An Improved Analysis of Gradient Tracking for Decentralized Machine Learning »
Anastasiia Koloskova · Tao Lin · Sebastian Stich -
2020 : Closing remarks »
Quanquan Gu · Courtney Paquette · Mark Schmidt · Sebastian Stich · Martin Takac -
2020 : Contributed talks in Session 1 (Zoom) »
Sebastian Stich · Laurent Condat · Zhize Li · Ohad Shamir · Tiffany Vlaar · Mohammadi Zaki -
2020 : Live Q&A with Volkan Cevher (Zoom) »
Sebastian Stich -
2020 : Live Q&A with Tong Zhang (Zoom) »
Sebastian Stich -
2020 : Welcome remarks to Session 1 »
Sebastian Stich -
2020 Workshop: OPT2020: Optimization for Machine Learning »
Courtney Paquette · Mark Schmidt · Sebastian Stich · Quanquan Gu · Martin Takac -
2020 : Welcome event (gather.town) »
Quanquan Gu · Courtney Paquette · Mark Schmidt · Sebastian Stich · Martin Takac -
2020 Poster: Ensemble Distillation for Robust Model Fusion in Federated Learning »
Tao Lin · Lingjing Kong · Sebastian Stich · Martin Jaggi -
2018 Poster: Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization »
Robert Gower · Filip Hanzely · Peter Richtarik · Sebastian Stich -
2018 Poster: Sparsified SGD with Memory »
Sebastian Stich · Jean-Baptiste Cordonnier · Martin Jaggi -
2017 Poster: Safe Adaptive Importance Sampling »
Sebastian Stich · Anant Raj · Martin Jaggi -
2017 Spotlight: Safe Adaptive Importance Sampling »
Sebastian Stich · Anant Raj · Martin Jaggi