| 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 | 7105 | 2019 |
| 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 | 1534 | 2020 |
| Towards Understanding Biased Client Selection in Federated Learning YJ Cho, J Wang, G Joshi AISTATS 2022: The 25th International Conference on Artificial Intelligence …, 2020 | 695* | 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 | 640* | 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 | 412 | 2021 |
| 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 | 272 | 2018 |
| 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 | 219* | 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 | 209 | 2019 |
| 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 | 199 | 2024 |
| 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 | 119 | 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 | 105* | 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 | 96 | 2021 |
| 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 | 74 | 2022 |
| 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 | 52 | 2021 |
| 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 | 48 | 2022 |
| 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 | 46 | 2020 |
| 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 | 41 | 2021 |
| 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 | 37 | 2024 |
| Machine Learning on Volatile Instances X Zhang, J Wang, G Joshi, C Joe-Wong INFOCOM 2020: IEEE International Conference on Computer Communications, 2020 | 26 | 2020 |
| 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 | 24 | 2022 |
Gauri JoshiCarnegie Mellon Universityایمیل تأیید شده در andrew.cmu.edu