Distributed Learning With Sparsified Gradient Differences

Distributed Learning With Sparsified Gradient Differences

5 February 2022

Brian M. Sadler

Papers citing "Distributed Learning With Sparsified Gradient Differences"

10 / 10 papers shown

Title
Temporal Predictive Coding for Gradient Compression in Distributed Learning Adrian Edin Zheng Chen Michel Kieffer Mikael Johansson 22 1 0 03 Oct 2024
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers Chengxi Li Mikael Skoglund 36 3 0 19 Mar 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method Elissa Mhanna Mohamad Assaad 41 1 0 30 Jan 2024
AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation Junjie Wang Yicheng Chen Wangshu Zhang Sen Hu Teng Xu Jing Zheng VLM 24 1 0 26 Dec 2023
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences A. Agafonov Brahim Erraji Martin Takáč FedML 19 4 0 18 Oct 2022
Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent Yicheng Chen Rick S. Blum Brian M. Sadler FedML 16 4 0 24 Sep 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 0 01 Jun 2022
Communication-Efficient ADMM-based Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 35 22 0 28 Oct 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 159 760 0 28 Sep 2019
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 76 736 0 19 Mar 2014