متابعة
Sebastian Urban Stich
Sebastian Urban Stich
CISPA Helmholtz Center
بريد إلكتروني تم التحقق منه على cispa.de - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Advances and open problems in federated learning‏
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...‏
Foundations and Trends® in Machine Learning 14 (1–2), 1-210, 2021‏
72352021
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
36052019
Local SGD Converges Fast and Communicates Little‏
SU Stich‏
ICLR 2019 - International Conference on Learning Representations, 2019‏
12332019
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
11862020
Sparsified SGD with memory‏
SU Stich, JB Cordonnier, M Jaggi‏
NeurIPS 2018 - Advances in Neural Information Processing Systems, 4448-4459, 2018‏
9612018
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
5972019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication‏
A Koloskova, SU Stich, M Jaggi‏
ICML 2019 - International Conference on Machine Learning, 2019‏
5862019
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
5772020
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
5082020
A Field Guide to Federated Optimization‏
J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ...‏
arXiv preprint arXiv:2107.06917, 2021‏
4162021
Breaking the centralized barrier for cross-device federated learning‏
SP Karimireddy, M Jaggi, S Kale, M Mohri, S Reddi, SU Stich, AT Suresh‏
NeurIPS 2021 - Advances in Neural Information Processing Systems 34, 2021‏
332*2021
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
313*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
3092020
Decentralized Deep Learning with Arbitrary Communication Compression‏
A Koloskova, T Lin, SU Stich, M Jaggi‏
ICLR 2020 - International Conference on Learning Representations, 2020‏
2692020
Dynamic Model Pruning with Feedback‏
T Lin, SU Stich, L Barba, D Dmitriev, M Jaggi‏
ICLR 2020 - International Conference on Learning Representations, 2020‏
2492020
Stochastic distributed learning with gradient quantization and double-variance reduction‏
S Horváth, D Kovalev, K Mishchenko, P Richtárik, S Stich‏
Optimization Methods and Software 38 (1), 91-106, 2023‏
2032023
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!‏
K Mishchenko, G Malinovsky, S Stich, P Richtárik‏
ICML 2022 - International Conference on Machine Learning, 2022‏
1762022
Efficiency of the Accelerated Coordinate Descent Method on Structured Optimization Problems‏
Y Nesterov, SU Stich‏
SIAM Journal on Optimization 27 (1), 110-123, 2017‏
1722017
On the Convergence of SGD with Biased Gradients‏
A Ajalloeian, SU Stich‏
ICML 2020 Workshop - Beyond First Order Methods in ML Systems, arXiv …, 2020‏
159*2020
Unified Optimal Analysis of the (Stochastic) Gradient Method‏
SU Stich‏
arXiv preprint arXiv:1907.04232, 2019‏
1402019
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20