Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours

24 February 2025

Nikhil Churamani

Saksham Checker

Fethiye Irmak Dogan

Hao-Tien Lewis Chiang

Hatice Gunes

FedML

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Papers citing "Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours"

27 / 27 papers shown

Title
GRACE: Generating Socially Appropriate Robot Actions Leveraging LLMs and Human Explanations Fethiye Irmak Dogan Umut Ozyurt Gizem Cinar Hatice Gunes LLMAG 77 4 0 25 Sep 2024
Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments Saksham Checker Nikhil Churamani Hatice Gunes FedML 49 3 0 12 Mar 2024
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms Anthony G. Francis Claudia Pérez-DÁrpino Chengshu Li Fei Xia Alexandre Alahi ... Xuesu Xiao Peng Xu Naoki Yokoyama Alexander Toshev Roberto Martin-Martin Logical Robotics 74 76 0 29 Jun 2023
Asynchronous Federated Continual Learning Donald Shenaj Marco Toldo Alberto Rigon Pietro Zanuttigh FedML CLL 72 35 0 07 Apr 2023
Large Language Models as Zero-Shot Human Models for Human-Robot Interaction Bowen Zhang Harold Soh LLMAG LM&Ro 137 44 0 06 Mar 2023
Extracting Training Data from Diffusion Models Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace DiffM 129 615 0 30 Jan 2023
Federated Continual Learning for Text Classification via Selective Inter-client Transfer Yatin Chaudhary Pranav Rai Matthias Schubert Hinrich Schütze Pankaj Gupta FedML 53 13 0 12 Oct 2022
The Cost of Training Machine Learning Models over Distributed Data Sources Elia Guerra F. Wilhelmi M. Miozzo Paolo Dini FedML 63 23 0 15 Sep 2022
Federated Continual Learning for Socially Aware Robotics Luke M. Guerdan Hatice Gunes FedML 51 3 0 14 Jan 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 278 821 0 15 Feb 2021
What am I allowed to do here?: Online Learning of Context-Specific Norms by Pepper Ali Ayub Alan R. Wagner OffRL 34 13 0 22 Aug 2020
Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions Jonas Tjomsland Sinan Kalkan Hatice Gunes 55 20 0 24 Jul 2020
Generative Feature Replay For Class-Incremental Learning Xialei Liu Chenshen Wu Mikel Menta Luis Herranz Bogdan Raducanu Andrew D. Bagdanov Shangling Jui Joost van de Weijer CLL 57 154 0 20 Apr 2020
Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 95 209 0 06 Mar 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 179 1,448 0 29 Feb 2020
Latent Replay for Real-Time Continual Learning Lorenzo Pellegrini G. Graffieti Vincenzo Lomonaco Davide Maltoni CLL 86 165 0 02 Dec 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 147 2,343 0 04 Jul 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 180 5,208 0 14 Dec 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines Yen-Chang Hsu Yen-Cheng Liu Anita Ramasamy Z. Kira CLL ELM 83 358 0 30 Oct 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 125 889 0 16 May 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 198 2,895 0 21 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 192 19,316 0 13 Jan 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 87 1,642 0 27 Nov 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 80 2,080 0 24 May 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 372 7,547 0 02 Dec 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 364 19,723 0 09 Mar 2015