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 | 5453 | 2021 |
Tackling the objective inconsistency problem in heterogeneous federated optimization J Wang, Q Liu, H Liang, G Joshi, HV Poor Advances in neural information processing systems 33, 7611-7623, 2020 | 1094 | 2020 |
Client selection in federated learning: Convergence analysis and power-of-choice selection strategies YJ Cho, J Wang, G Joshi arXiv preprint arXiv:2010.01243, 2020 | 368 | 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 | 326 | 2021 |
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms J Wang, G Joshi arXiv preprint arXiv:1808.07576, 2018 | 317 | 2018 |
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 | 266 | 2021 |
Adaptive communication strategies to achieve the best error-runtime trade-off in local-update SGD J Wang, G Joshi arXiv preprint arXiv:1810.08313, 2018 | 241 | 2018 |
On the delay-storage trade-off in content download from coded distributed storage systems G Joshi, Y Liu, E Soljanin IEEE Journal on Selected Areas in Communications 32 (5), 989-997, 2014 | 219 | 2014 |
Slow and stale gradients can win the race: Error-runtime trade-offs in distributed SGD S Dutta, G Joshi, S Ghosh, P Dube, P Nagpurkar International Conference on Artificial Intelligence and Statistics, 803-812, 2018 | 181 | 2018 |
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling J Wang, AK Sahu, Z Yang, G Joshi, S Kar arXiv preprint arXiv:1905.09435, 2019 | 174 | 2019 |
Using straggler replication to reduce latency in large-scale parallel computing D Wang, G Joshi, G Wornell ACM SIGMETRICS Performance Evaluation Review 43 (3), 7-11, 2015 | 163 | 2015 |
Efficient redundancy techniques for latency reduction in cloud systems G Joshi, E Soljanin, G Wornell ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2017 | 152 | 2017 |
Mariana Raykova, Dawn Song, Weikang Song, Sebastian U P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021 | 150 | 2021 |
Efficient task replication for fast response times in parallel computation D Wang, G Joshi, G Wornell The 2014 ACM international conference on Measurement and modeling of …, 2014 | 143 | 2014 |
Towards understanding biased client selection in federated learning YJ Cho, J Wang, G Joshi International Conference on Artificial Intelligence and Statistics, 10351-10375, 2022 | 133 | 2022 |
Coding for fast content download G Joshi, Y Liu, E Soljanin arXiv preprint arXiv:1210.3012, 2012 | 112 | 2012 |
Accelerating Deep Learning by Focusing on the Biggest Losers AH Jiang, DLK Wong, G Zhou, DG Andersen, J Dean, GR Ganger, ... arXiv preprint arXiv:1910.00762, 2019 | 106 | 2019 |
Adaptive quantization of model updates for communication-efficient federated learning D Jhunjhunwala, A Gadhikar, G Joshi, YC Eldar ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 93 | 2021 |
Rateless codes for near-perfect load balancing in distributed matrix-vector multiplication A Mallick, M Chaudhari, U Sheth, G Palanikumar, G Joshi Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference …, 2020 | 84 | 2020 |
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning YJ Cho, A Manoel, G Joshi, R Sim, D Dimitriadis arXiv preprint arXiv:2204.12703, 2022 | 81 | 2022 |