Proximity Without Consensus in Online Multi-Agent Optimization

17 June 2016

Alejandro Ribeiro

Papers citing "Proximity Without Consensus in Online Multi-Agent Optimization"

24 / 24 papers shown

Title
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting Millend Roy Vladimir Pyltsov Yinbo Hu 85 0 0 16 May 2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning Sergio Rozada Santiago Paternain J. Bazerque Antonio G. Marques 98 0 0 17 Jan 2025
Decentralized Personalized Federated Learning Salma Kharrat Marco Canini Samuel Horváth FedML 114 0 0 10 Jun 2024
Decentralized Multi-Task Online Convex Optimization Under Random Link Failures Wenjing Yan Xuanyu Cao 54 1 0 04 Jan 2024
Exact Subspace Diffusion for Decentralized Multitask Learning Shreya Wadehra Roula Nassif Stefan Vlaski 48 1 0 14 Apr 2023
AFAFed -- Protocol analysis E. Baccarelli M. Scarpiniti Alireza Momenzadeh S. S. Ahrabi FedML 116 0 0 29 Jun 2022
FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus Amrit Singh Bedi Chen Fan Alec Koppel Anit Kumar Sahu Brian M Sadler Furong Huang Tianyi Zhou FedML 76 3 0 22 Jun 2022
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data B. L. Bars A. Bellet Marc Tommasi Erick Lavoie Anne-Marie Kermarrec FedML 81 27 0 09 Apr 2022
Dencentralized learning in the presence of low-rank noise Roula Nassif Virginia Bordignon Stefan Vlaski Ali H. Sayed 36 0 0 18 Mar 2022
Decentralized Multi-Task Stochastic Optimization With Compressed Communications Navjot Singh Xuanyu Cao Suhas Diggavi Tamer Basar 57 9 0 23 Dec 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming Alec Koppel Amrit Singh Bedi Bhargav Ganguly Vaneet Aggarwal 51 4 0 22 Oct 2021
Stochastic Compositional Gradient Descent under Compositional Constraints Srujan Teja Thomdapu Harsh Vardhan K. Rajawat 80 14 0 17 Dec 2020
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems Zhan Gao Alec Koppel Alejandro Ribeiro 65 10 0 02 Jul 2020
Communication-Efficient Robust Federated Learning Over Heterogeneous Datasets Yanjie Dong G. Giannakis Tianyi Chen Julian Cheng Md. Jahangir Hossain Victor C. M. Leung FedML 62 14 0 17 Jun 2020
Resilient Consensus via Weight Learning and Its Application in Fault-Tolerant Clock Synchronization Jian Hou Zhiyong Chen Zhiyun Lin Mengfan Xiang 32 1 0 10 Feb 2020
Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning Roula Nassif Stefan Vlaski C. Richard Jie Chen Ali H. Sayed 75 74 0 07 Jan 2020
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning Anis Elgabli Jihong Park Amrit Singh Bedi Chaouki Ben Issaid M. Bennis Vaneet Aggarwal 113 67 0 23 Oct 2019
Optimally Compressed Nonparametric Online Learning Alec Koppel Amrit Singh Bedi K. Rajawat Brian M. Sadler 21 5 0 25 Sep 2019
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning Anis Elgabli Jihong Park Amrit Singh Bedi M. Bennis Vaneet Aggarwal FedML 80 83 0 30 Aug 2019
Adaptive Kernel Learning in Heterogeneous Networks Hrusikesha Pradhan Amrit Singh Bedi Alec Koppel K. Rajawat 27 7 0 01 Aug 2019
Secure Distributed On-Device Learning Networks With Byzantine Adversaries Yanjie Dong Julian Cheng Md. Jahangir Hossain Victor C. M. Leung FedML 44 23 0 03 Jun 2019
Adaptation and learning over networks under subspace constraints -- Part I: Stability Analysis Roula Nassif Stefan Vlaski Ali H. Sayed 44 30 0 21 May 2019
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications Songtao Lu Ioannis C. Tsaknakis Mingyi Hong Yongxin Chen 90 171 0 21 Feb 2019
Accelerated Distributed Dual Averaging over Evolving Networks of Growing Connectivity Sijia Liu Pin-Yu Chen Alfred Hero 27 18 0 18 Apr 2017