Suivre
Jianyu Wang
Jianyu Wang
Research Scientist at Apple
Adresse e-mail validée de apple.com
Titre
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Année
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
69172019
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
15002020
Towards Understanding Biased Client Selection in Federated Learning
YJ Cho, J Wang, G Joshi
AISTATS 2022: The 25th International Conference on Artificial Intelligence …, 2020
672*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
629*2021
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
3982021
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
2702018
Matcha: A Matching-Based Link Scheduling Strategy to Speed up Distributed Optimization
J Wang, AK Sahu, G Joshi, S Kar
IEEE Transactions on Signal Processing 70, 5208-5221, 2022
220*2022
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
2012019
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ...
ECCV 2024: European Conference on Computer Vision, 2024
1792024
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
J Nguyen, J Wang, K Malik, M Sanjabi, M Rabbat
ICLR 2023: International Conference on Learning Representations, 2022
117*2022
Communication-Efficient and Model-Heterogeneous Personalized Federated Learning via Clustered Knowledge Transfer
YJ Cho, J Wang, T Chirvolu, G Joshi
IEEE Journal of Selected Topics in Signal Processing, 2023
99*2023
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
952021
Federated Learning under Distributed Concept Drift
E Jothimurugesan, K Hsieh, J Wang, G Joshi, PB Gibbons
AISTATS 2023: The 26th International Conference on Artificial Intelligence …, 2022
692022
On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data
J Wang, R Das, G Joshi, S Kale, Z Xu, T Zhang
Transactions on Machine Learning Research (TMLR), 2022
512022
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
512021
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
462020
Slow and Stale Gradients Can Win the Race
S Dutta, J Wang, G Joshi
IEEE Journal on Selected Areas in Information Theory 2 (3), 1012-1024, 2021
402021
Apple Intelligence Foundation Language Models
T Gunter, Z Wang, C Wang, R Pang, A Narayanan, A Zhang, B Zhang, ...
arXiv preprint arXiv:2407.21075, 2024
282024
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
252022
Machine Learning on Volatile Instances
X Zhang, J Wang, G Joshi, C Joe-Wong
INFOCOM 2020: IEEE International Conference on Computer Communications, 2020
252020
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