Implicit Gradient Alignment in Distributed and Federated Learning

Implicit Gradient Alignment in Distributed and Federated Learning

25 June 2021

Papers citing "Implicit Gradient Alignment in Distributed and Federated Learning"

18 / 18 papers shown

Title
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning Gaurav Patel Qiang Qiu MU 62 1 0 08 Mar 2025
Contrastive Federated Learning with Tabular Data Silos Achmad Ginanjar Xue Li Wen Hua Jiaming Pei FedML 71 2 0 17 Feb 2025
DataFreeShield: Defending Adversarial Attacks without Training Data Hyeyoon Lee Kanghyun Choi Dain Kwon Sunjong Park Mayoore S. Jaiswal Noseong Park Jonghyun Choi Jinho Lee 36 0 0 21 Jun 2024
FAGH: Accelerating Federated Learning with Approximated Global Hessian Mrinmay Sen A. K. Qin Krishna Mohan FedML 29 0 0 16 Mar 2024
Personalized Federated Learning with Contextual Modulation and Meta-Learning Anna Vettoruzzo Mohamed-Rafik Bouguelia Thorsteinn Rögnvaldsson FedML 19 1 0 23 Dec 2023
Leveraging Function Space Aggregation for Federated Learning at Scale Nikita Dhawan Nicole Mitchell Zachary B. Charles Zachary Garrett Gintare Karolina Dziugaite FedML 24 3 0 17 Nov 2023
Implicit biases in multitask and continual learning from a backward error analysis perspective Benoit Dherin 33 3 0 01 Nov 2023
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 31 4 0 26 Oct 2023
Implicit meta-learning may lead language models to trust more reliable sources Dmitrii Krasheninnikov Egor Krasheninnikov Bruno Mlodozeniec Tegan Maharaj David M. Krueger 26 3 0 23 Oct 2023
Deep Fusion: Efficient Network Training via Pre-trained Initializations Hanna Mazzawi X. Gonzalvo Michael Wunder Sammy Jerome Benoit Dherin AI4CE 33 3 0 20 Jun 2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu Xin-Yi Tong Shao-Lun Huang FedML 26 100 0 20 Jun 2023
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation Gaurav Patel Konda Reddy Mopuri Qiang Qiu 21 28 0 28 Feb 2023
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 30 24 0 30 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning Yanhang Shi Siguang Chen Haijun Zhang FedML 23 8 0 05 May 2022
Data-heterogeneity-aware Mixing for Decentralized Learning Yatin Dandi Anastasia Koloskova Martin Jaggi Sebastian U. Stich 38 18 0 13 Apr 2022
Stochastic Training is Not Necessary for Generalization Jonas Geiping Micah Goldblum Phillip E. Pope Michael Moeller Tom Goldstein 89 72 0 29 Sep 2021
Masked Training of Neural Networks with Partial Gradients Amirkeivan Mohtashami Martin Jaggi Sebastian U. Stich 10 22 0 16 Jun 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 284 2,890 0 15 Sep 2016