Federated Learning over Wireless Device-to-Device Networks: Algorithms
and Convergence Analysis

Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis

29 January 2021

Osvaldo Simeone

Papers citing "Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis"

6 / 6 papers shown

Title
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks Tingyang Sun Tuan Nguyen Ting He 26 0 0 16 Apr 2025
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 39 0 0 08 Mar 2025
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications Azim Akhtarshenas Mohammad Ali Vahedifar Navid Ayoobi B. Maham Tohid Alizadeh Sina Ebrahimi David López-Pérez FedML 10 4 0 08 Oct 2023
Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping Haifeng Wen Hong Xing Osvaldo Simeone 10 1 0 18 May 2023
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications Deniz Gunduz Zhijin Qin Iñaki Estella Aguerri Harpreet S. Dhillon Zhaohui Yang Aylin Yener Kai‐Kit Wong C. Chae 14 427 0 19 Jul 2022
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples Xizixiang Wei Cong Shen FedML 28 15 0 06 Jan 2021