Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning


Jun 16, 2022
Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Data-heterogeneity-aware Mixing for Decentralized Learning


Apr 13, 2022
Yatin Dandi, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Tackling benign nonconvexity with smoothing and stochastic gradients


Feb 18, 2022
Harsh Vardhan, Sebastian U. Stich


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

An Improved Analysis of Gradient Tracking for Decentralized Machine Learning


Feb 08, 2022
Anastasia Koloskova, Tao Lin, Sebastian U. Stich

* 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 
* published at NeurIPS 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

The Peril of Popular Deep Learning Uncertainty Estimation Methods


Dec 09, 2021
Yehao Liu, Matteo Pagliardini, Tatjana Chavdarova, Sebastian U. Stich

* Presented at the Bayesian Deep Learning Workshop at NeurIPS 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Linear Speedup in Personalized Collaborative Learning


Nov 10, 2021
El Mahdi Chayti, Sai Praneeth Karimireddy, Sebastian U. Stich, Nicolas Flammarion, Martin Jaggi


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training


Oct 11, 2021
Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

RelaySum for Decentralized Deep Learning on Heterogeneous Data


Oct 08, 2021
Thijs Vogels, Lie He, Anastasia Koloskova, Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi

* To appear in NeurIPS 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

On Second-order Optimization Methods for Federated Learning


Sep 06, 2021
Sebastian Bischoff, Stephan Günnemann, Martin Jaggi, Sebastian U. Stich

* ICML 2021 Workshop "Beyond first-order methods in ML systems" 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Semantic Perturbations with Normalizing Flows for Improved Generalization


Aug 18, 2021
Oguz Kaan Yuksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova

* In Proceedings of the IEEE International Conference on Computer Vision 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
>>