Number of items: 6.
Conference or Workshop Item (A Paper)
Beznosikov, Aleksandr and Dvurechensky, Pavel and Koloskova, Anastasia and Samokhin, Valentin and Stich, Sebastian U. and Gasnikov, Alexander
(2022)
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities.
Dodwadmath, Akshay and Stich, Sebastian U.
(2022)
Preserving privacy with PATE for heterogeneous data.
Koloskova, Anastasia and Stich, Sebastian U. and Jaggi, Martin
(2022)
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning.
Mishchenko, Konstantin and Malinovsky, Grigory and Stich, Sebastian U. and Richtarik, Peter
(2022)
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
Mohtashami, Amirkeivan and Jaggi, Martin and Stich, Sebastian U.
(2022)
Masked Training of Neural Networks with Partial Gradients.
(In Press)
Wang, Hui-Po and Stich, Sebastian U. and He, Yang and Fritz, Mario
(2022)
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training.
This list was generated on Sun Nov 24 00:09:52 2024 CET.