In-Network Learning: Distributed Training and Inference in Networks

7 July 2021

Papers citing "In-Network Learning: Distributed Training and Inference in Networks"

9 / 9 papers shown

Title
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Milad Sefidgaran Abdellatif Zaidi Piotr Krasnowski 44 0 0 25 Apr 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective Masoud Kavian Milad Sefidgaran A. Zaidi Romain Chor FedML 34 1 0 03 Mar 2025
Minimal Communication-Cost Statistical Learning Milad Sefidgaran Abdellatif Zaidi Piotr Krasnowski 24 0 0 12 Jun 2024
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often! Milad Sefidgaran Romain Chor A. Zaidi Yijun Wan FedML 14 6 0 09 Jun 2023
More Communication Does Not Result in Smaller Generalization Error in Federated Learning Romain Chor Milad Sefidgaran A. Zaidi FedML AI4CE 13 10 0 24 Apr 2023
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning Milad Sefidgaran Romain Chor A. Zaidi FedML 37 14 0 06 Jun 2022
Task-Oriented Communication for Multi-Device Cooperative Edge Inference Jiawei Shao Yuyi Mao Jun Zhang 17 127 0 01 Sep 2021
On In-network learning. A Comparative Study with Federated and Split Learning Matei Moldoveanu A. Zaidi FedML 17 7 0 30 Apr 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016