Byzantine Resilient Federated Multi-Task Representation Learning

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Byzantine Resilient Federated Multi-Task Representation Learning

24 March 2025

Shana Moothedath

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Papers citing "Byzantine Resilient Federated Multi-Task Representation Learning"

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Title
FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning Abolfazl Younesi Leon Kiss Zahra Najafabadi Samani Juan Aznar Poveda Thomas Fahringer AAML 235 0 0 18 Nov 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual BanditsInternational Conference on Machine Learning (ICML), 2024 Jiabin Lin Shana Moothedath Namrata Vaswani 396 8 0 08 Jan 2025
Exploiting Shared Representations for Personalized Federated LearningInternational Conference on Machine Learning (ICML), 2021 Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML OOD 326 953 0 14 Feb 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 639 645 0 30 Mar 2020
Few-Shot Learning via Learning the Representation, ProvablyInternational Conference on Learning Representations (ICLR), 2020 S. Du Wei Hu Sham Kakade Jason D. Lee Qi Lei SSL 258 279 0 21 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 558 643 0 19 Feb 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 599 668 0 06 Jan 2020
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 333 1,071 0 02 Dec 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang Jakub Konecný Keith Rush Sreeram Kannan FedML 312 660 0 27 Sep 2019
Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang Timothy M. Hospedales 158 264 0 20 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 1.4K 21,556 0 17 Feb 2016
Representation Learning: A Review and New PerspectivesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2012 Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 889 13,238 0 24 Jun 2012