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Keyword

distributed optimization

Description: A class of optimization methods in which multiple computing agents or processes coordinate to solve a shared problem, often across large-scale systems.
OpenAlex ID: keywords/distributed-optimization
Federated Learning: Challenges, Methods, and Future Directions
2020 · Tian Li, Anit Kumar Sahu, et al. · IEEE Signal Processing Magazine · 6,179
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An overview of gradient descent optimization algorithms
2016 · Ruder, Sebastian · arXiv (Cornell University) · 4,793
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Proximal Algorithms
2014 · Neal Parikh, Stephen Boyd · Foundations and Trends® in Optimization · 4,090
Federated Optimization in Heterogeneous Networks
2018 · Li, Tian, Sahu, Anit Kumar, et al. · arXiv (Cornell University) · 4,017
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Distributed Subgradient Methods for Multi-Agent Optimization
2009 · Angelia Nedic, Asuman Ozdaglar · IEEE Transactions on Automatic Control · 3,691
Biomimicry of bacterial foraging for distributed optimization and control
2002 · K.M. Passino · IEEE Control Systems · 3,071
An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination
2012 · Yongcan Cao, Wenwu Yu, et al. · IEEE Transactions on Industrial Informatics · 2,399
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Constrained Consensus and Optimization in Multi-Agent Networks
2010 · A. Nedic, A. Ozdaglar, et al. · IEEE Transactions on Automatic Control · 2,086
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Distributed asynchronous deterministic and stochastic gradient optimization algorithms
1986 · J. Tsitsiklis, D. Bertsekas, et al. · IEEE Transactions on Automatic Control · 1,965
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
2019 · Karimireddy, Sai Praneeth, Kale, Satyen, et al. · arXiv (Cornell University) · 1,732
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Minimum energy mobile wireless networks
1999 · V. Rodoplu, T.H. Meng · IEEE Journal on Selected Areas in Communications · 1,695
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
2016 · Konečný, Jakub, McMahan, H. Brendan, et al. · arXiv (Cornell University) · 1,563
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Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures
2007 · Mung Chiang, Steven H. Low, et al. · Proceedings of the IEEE · 1,352
EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
2015 · Wei Shi, Qing Ling, et al. · SIAM Journal on Optimization · 1,253
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Cooperative Control of Mobile Sensor Networks: Adaptive Gradient Climbing in a Distributed Environment
2004 · P. Ogren, E. Fiorelli, et al. · IEEE Transactions on Automatic Control · 1,234
Federated Multi-Task Learning
2017 · Smith, Virginia, Chiang, Chao-Kai, et al. · arXiv (Cornell University) · 1,228
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Distributed Optimization Over Time-Varying Directed Graphs
2014 · Angelia Nedic, Alex Olshevsky · IEEE Transactions on Automatic Control · 1,183
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
2018 · Yin, Dong, Chen, Yudong, et al. · arXiv (Cornell University) · 1,130
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Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs
2017 · Angelia Nedić, Alex Olshevsky, et al. · SIAM Journal on Optimization · 1,019
Optimal decentralized protocol for electric vehicle charging
2013 · Lingwen Gan, Ufuk Topcu, et al. · IEEE Transactions on Power Systems · 999
Federated learning of predictive models from federated Electronic Health Records
2018 · Theodora S. Brisimi, Ruidi Chen, et al. · International Journal of Medical Informatics · 997
Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
2011 · J. C. Duchi, A. Agarwal, et al. · IEEE Transactions on Automatic Control · 946
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A survey of distributed optimization
2019 · Tao Yang, Xinlei Yi, et al. · Annual Reviews in Control · 916
Distributed optimization in sensor networks
2004 · Michael Rabbat, Robert Nowak · International Symposium on Information Processing in Sensor Networks (IPSN) · 899
On optimization methods for deep learning
2011 · Jiquan Ngiam, Adam Coates, et al. · International Conference on Machine Learning · 868
Works count: 16,230
Citation count: 301,400
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