Sebastian Urban Stich
Sebastian Urban Stich
Research Scientist, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
10112019
Local SGD Converges Fast and Communicates Little
SU Stich
ICLR 2019 - International Conference on Learning Representations, 2019
3652019
Sparsified SGD with memory
SU Stich, JB Cordonnier, M Jaggi
NeurIPS 2018 - Advances in Neural Information Processing Systems, 4448-4459, 2018
3002018
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
SP Karimireddy, S Kale, M Mohri, SJ Reddi, SU Stich, AT Suresh
ICML 2020 - International Conference on Machine Learning, 2019
296*2019
Don't Use Large Mini-Batches, Use Local SGD
T Lin, SU Stich, KK Patel, M Jaggi
ICLR 2020 - International Conference on Learning Representations, 2020
2042020
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
SP Karimireddy, Q Rebjock, SU Stich, M Jaggi
ICML 2019 - International Conference on Machine Learning, 2019
2022019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
A Koloskova, SU Stich, M Jaggi
ICML 2019 - International Conference on Machine Learning, 2019
1992019
Efficiency of the Accelerated Coordinate Descent Method on Structured Optimization Problems
Y Nesterov, SU Stich
SIAM Journal on Optimization 27 (1), 110-123, 2017
1152017
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
A Koloskova, N Loizou, S Boreiri, M Jaggi, SU Stich
ICML 2020 - International Conference on Machine Learning, 2020
872020
Decentralized Deep Learning with Arbitrary Communication Compression
A Koloskova, T Lin, SU Stich, M Jaggi
ICLR 2020 - International Conference on Learning Representations, 2020
782020
The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Updates
SU Stich, SP Karimireddy
Journal of Machine Learning Research 21, 1-36, 2020
77*2020
Is Local SGD Better than Minibatch SGD?
B Woodworth, KK Patel, SU Stich, Z Dai, B Bullins, HB McMahan, ...
ICML 2020 - International Conference on Machine Learning, 2020
752020
Stochastic distributed learning with gradient quantization and variance reduction
S Horváth, D Kovalev, K Mishchenko, S Stich, P Richtárik
arXiv preprint arXiv:1904.05115, 2019
742019
Ensemble Distillation for Robust Model Fusion in Federated Learning
T Lin, L Kong, SU Stich, M Jaggi
NeurIPS 2020 - Advances in Neural Information Processing Systems 33, 2020
592020
Dynamic Model Pruning with Feedback
T Lin, SU Stich, L Barba, D Dmitriev, M Jaggi
ICLR 2020 - International Conference on Learning Representations, 2020
492020
Optimization of convex functions with random pursuit
SU Stich, CL Muller, B Gartner
SIAM Journal on Optimization 23 (2), 1284-1309, 2013
492013
On two problems regarding the Hamiltonian cycle game
D Hefetz, SU Stich
the electronic journal of combinatorics 16 (1), 28, 2009
392009
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
RM Gower, F Hanzely, P Richtárik, SU Stich
NeurIPS 2018 - Advances in Neural Information Processing Systems, 1619-1629, 2018
372018
Safe Adaptive Importance Sampling
SU Stich, A Raj, M Jaggi
NIPS 2017 - Advances in Neural Information Processing Systems, 4382-4392, 2017
362017
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
SP Karimireddy, M Jaggi, S Kale, M Mohri, SJ Reddi, SU Stich, AT Suresh
arXiv preprint arXiv:2008.03606, 2020
312020
The system can't perform the operation now. Try again later.
Articles 1–20