Improved Communication Efficiency in Federated Natural Policy Gradient
via ADMM-based Gradient Updates

Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates

9 October 2023

James Anderson

Christopher G. Brinton

Vaneet Aggarwal

Papers citing "Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates"

19 / 19 papers shown

Title
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling Feng Zhu Aritra Mitra Robert W. Heath FedML 36 0 0 15 Apr 2025
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates Shicheng Liu Minghui Zhu 49 0 0 21 Oct 2024
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning Feng Zhu Robert W. Heath Jr. Aritra Mitra 22 1 0 09 Sep 2024
StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests Cheng-Wei Ching Boyuan Guan Hailu Xu Liting Hu VLM AI4TS HAI 38 0 0 25 Jul 2024
Advanced Multimodal Deep Learning Architecture for Image-Text Matching Jinyin Wang Haijing Zhang Yihao Zhong Yingbin Liang Rongwei Ji Yiru Cang 31 22 0 13 Jun 2024
Advanced Payment Security System:XGBoost, LightGBM and SMOTE Integrated Qi Zheng Chang Yu Jin Cao Yongshun Xu Qianwen Xing Yinxin Jin 24 8 0 07 Jun 2024
Credit Card Fraud Detection Using Advanced Transformer Model Chang Yu Yongshun Xu Jin Cao Y. Zhang Yinxin Jin Mengran Zhu 32 43 0 06 Jun 2024
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments Han Wang Sihong He Zhili Zhang Fei Miao James Anderson 39 3 0 29 May 2024
Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique Qishi Zhan Dan Sun Erdi Gao Yuhan Ma Yaxin Liang Haowei Yang 40 8 0 23 May 2024
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis Yuxiang Hu Haowei Yang Ting Xu Shuyao He Jiajie Yuan Haozhang Deng 41 12 0 23 May 2024
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks Taiyuan Mei Yun Zi X. Cheng Zijun Gao Qi Wang Haowei Yang 36 20 0 20 May 2024
Real-Time Pill Identification for the Visually Impaired Using Deep Learning Bo Dang Wenchao Zhao Yufeng Li Danqing Ma Qixuan Yu Elly Yijun Zhu MedIm 34 41 0 08 May 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan Dong-Jun Han Abolfazl Hashemi Vaneet Aggarwal Christopher G. Brinton 122 15 0 09 Apr 2024
Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection Zhixin Lai Xuesheng Zhang Suiyao Chen DeLMO 33 30 0 20 Mar 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh Jiayu Chen Gugan Thoppe Vaneet Aggarwal FedML 45 1 0 15 Mar 2024
Communication Efficient and Privacy-Preserving Federated Learning Based on Evolution Strategies Guangchen Lan FedML 17 0 0 05 Nov 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 30 85 0 02 Jun 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning Marina Haliem G. Mani Vaneet Aggarwal Bharat K. Bhargava 35 62 0 05 Oct 2020