COLA: Decentralized Linear Learning

COLA: Decentralized Linear Learning

13 August 2018

Lie He

Papers citing "COLA: Decentralized Linear Learning"

15 / 15 papers shown

Title
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 36 2 0 26 Sep 2024
Train ñ Trade: Foundations of Parameter Markets Tzu-Heng Huang Harit Vishwakarma Frederic Sala AIFin 32 2 0 07 Dec 2023
Federated Learning for Sparse Principal Component Analysis Sin Cheng Ciou Pin-Jui Chen Elvin Y. Tseng Yuh-Jye Lee FedML 26 0 0 15 Nov 2023
Continual Learning with Distributed Optimization: Does CoCoA Forget? Martin Hellkvist Ayça Özçelikkale Anders Ahlén CLL OOD 22 1 0 30 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 35 223 0 15 Nov 2022
Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building Angan Mitra K. Nguyen T. Nguyen Denis Trystram P. Youssef 24 1 0 31 Jul 2022
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting Yicheng Chen Rick S. Blum Brian M. Sadler FedML 9 7 0 05 Feb 2022
Towards Demystifying Serverless Machine Learning Training Jiawei Jiang Shaoduo Gan Yue Liu Fanlin Wang Gustavo Alonso Ana Klimovic Ankit Singla Wentao Wu Ce Zhang 19 121 0 17 May 2021
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization Abolfazl Hashemi Anish Acharya Rudrajit Das H. Vikalo Sujay Sanghavi Inderjit Dhillon 20 7 0 20 Nov 2020
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! D. Kovalev Anastasia Koloskova Martin Jaggi Peter Richtárik Sebastian U. Stich 23 73 0 03 Nov 2020
Optimal Complexity in Decentralized Training Yucheng Lu Christopher De Sa 38 72 0 15 Jun 2020
MixML: A Unified Analysis of Weakly Consistent Parallel Learning Yucheng Lu J. Nash Christopher De Sa FedML 32 12 0 14 May 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U. Stich FedML 41 493 0 23 Mar 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 27 289 0 11 Feb 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 37 629 0 31 Dec 2019