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Optimizing the performance of many objectives (instantiated by tasks or clients) jointly with a few Pareto stationary solutions (models) is critical in machine learning.
Griggs v. duke power co, 1971
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Nonlinear multiobjective optimization , volume 12
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Sindhya, K., Miettinen, K., and Deb, K · 2012
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He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Cohen, G., Afshar, S., Tapson, J., and van Schaik, A · 2017
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Communication-efficient learning of deep networks from decentralized data
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Federated multi-task learning
Smith, V., Chiang, C.-K., Sanjabi, M., and Talwalkar, A. S · 2017
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Zafar, M. B., Valera, I., Rogriguez, M. G., and Gummadi, K. P · 2017
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Superglue: A stickier benchmark for general-purpose language understanding systems
Wang, A., Pruksachatkun, Y., Nangia, N., Singh, A., Michael, J., Hill, F., Levy, O., and Bowman, S · 2019
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An efficient framework for clustered federated learning
Ghosh, A., Chung, J., Yin, D., and Ramchandran, K · 2020
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Federated optimization in heterogeneous networks
Li, T., Sahu, A. K., Zaheer, M., Sanjabi, M., Talwalkar, A., and Smith, V · 2020
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Multi-task learning with user preferences: Gradient descent with controlled ascent in pareto optimization
Mahapatra, D. and Rajan, V · 2020
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A fast proximal point method for computing exact wasserstein distance
Xie, Y., Wang, X., Wang, R., and Zha, H · 2020
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Fedbn: Federated learning on non-iid features via local batch normalization
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Caldas, S., Wu, P., Li, T., Konečnỳ, J., McMahan, H. B., Smith, V., and Talwalkar, A · 2018
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A tutorial on multiobjective optimization: fundamentals and evolutionary methods
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Looking beyond the surface: A challenge set for reading comprehension over multiple sentences
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Stacked cross attention for image-text matching
Lee, K.-H., Chen, X., Hua, G., Hu, H., and He, X · 2018
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Complexity of gradient descent for multiobjective optimization
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Profiling pareto front with multi-objective stein variational gradient descent
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Learning how to ask: Querying lms with mixtures of soft prompts
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Exact algorithms for multiobjective linear optimization problems with integer variables: A state of the art survey
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Federated learning meets multi-objective optimization
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A multi-objective/multi-task learning framework induced by pareto stationarity
Momma, M., Dong, C., and Liu, J · 2022
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Motley: Benchmarking heterogeneity and personalization in federated learning
Wu, S., Li, T., Charles, Z., Xiao, Y., Liu, Z., Xu, Z., and Smith, V · 2022
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Optimization on pareto sets: On a theory of multi-objective optimization
Roy, A., So, G., and Ma, Y.-A · 2023
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