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Communication-Efficient Optimization Methods for Federated Learning
Communications and Signal Processing Seminar Series
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P. Richtárik "Distributed Second Order Methods with Fast Rates and Compressed Communication"
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Heterogeneity-Aware Algorithms for Federated Optimization | Prof. Gauri Joshi | CMU
Centre for Networked Intelligence, IISc
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Communication-Efficient Agnostic Federated Averaging - (longer introduction)
INTERSPEECH2021
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FedOpt++ - Federation Beyond Uniform Client Selection, Optimization Beyond Simple Minimization
Centre for Networked Intelligence, IISc
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Aymeric Dieuleveut - Federated Learning with Communication Constraints: Challenges in (...)
Institut des Hautes Etudes Scientifiques (IHES)
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Tutorial: Federated Optimization, Part I
Simons Institute for the Theory of Computing
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Communication Efficient Privacy-Preserving Distributed Optimization
IEEE Signal Processing Society
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