Jianyu Wang
Jianyu Wang
Потвърден имейл адрес: andrew.cmu.edu - Начална страница
Advances and Open Problems in Federated Learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
FnTML: Foundations and Trends® in Machine Learning, 2019
Cooperative SGD: A unified framework for the design and analysis of communication-efficient SGD algorithms
J Wang, G Joshi
JMLR: Journal of Machine Learning Research, 2018
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
J Wang, Q Liu, H Liang, G Joshi, HV Poor
NeurIPS 2020: Advances in Neural Information Processing Systems, 2020
Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD
J Wang, G Joshi
MLSys 2019: The Conference on Machine Learning and Systems, 2018
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling
J Wang, AK Sahu, Z Yang, G Joshi, S Kar
NeurIPS 2019 workshop: International Workshop on Federated Learning for User …, 2019
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
J Wang, V Tantia, N Ballas, M Rabbat
ICLR 2020: International Conference on Learning Representations, 2019
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
YJ Cho, J Wang, G Joshi
AISTATS 2022: The 25th International Conference on Artificial Intelligence …, 2020
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
Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD
J Wang, H Liang, G Joshi
ICASSP 2020: 45th International Conference on Acoustics, Speech, and Signal …, 2020
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms
J Wang, G Joshi
Journal of Machine Learning Research 22 (213), 1-50, 2021
Machine Learning on Volatile Instances
X Zhang, J Wang, G Joshi, C Joe-Wong
INFOCOM 2020: IEEE International Conference on Computer Communications, 2020
Lookahead Converges to Stationary Points of Smooth Non-Convex Functions
J Wang, V Tantia, N Ballas, M Rabbat
ICASSP 2020: 45th International Conference on Acoustics, Speech, and Signal …, 2020
Slow and Stale Gradients Can Win the Race
S Dutta, J Wang, G Joshi
IEEE Journal on Selected Areas of Information Theory (JSAIT) Special Issue, 2021, 2020
A Novel Framework for the Analysis and Design of Heterogeneous Federated Learning
J Wang, Q Liu, H Liang, G Joshi, HV Poor
IEEE Transactions on Signal Processing 69, 5234-5249, 2021
On the Discretization Schemes in Map-Aided Indoor Localization
J Wang, Y Shen
IEEE Communications Letters 21 (7), 1629-1632, 2017
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer
YJ Cho, J Wang, T Chiruvolu, G Joshi
arXiv preprint arXiv:2109.08119, 2021
Local Adaptivity in Federated Learning: Convergence and Consistency
J Wang, Z Xu, Z Garrett, Z Charles, L Liu, G Joshi
arXiv preprint arXiv:2106.02305, 2021
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients
J Wang, H Qi, AS Rawat, S Reddi, S Waghmare, FX Yu, G Joshi
arXiv preprint arXiv:2201.11865, 2022
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