Cost-Effective Federated Learning Design

15 December 2020

Leandros Tassiulas

Papers citing "Cost-Effective Federated Learning Design"

23 / 23 papers shown

Title
Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Pengcheng Sun Erwu Liu Wei Ni Kanglei Yu Rui-cang Wang Abbas Jamalipour FedML 23 0 0 06 May 2025
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory Alessandro Buratto Elia Guerra M. Miozzo Paolo Dini Leonardo Badia 45 1 0 27 Mar 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 83 4 0 14 Feb 2025
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu Yan Huang Xin Wang Jinming Xu 41 0 0 04 May 2024
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme Qianyu Long Qiyuan Wang Christos Anagnostopoulos Daning Bi FedML 28 0 0 24 Apr 2024
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes Xiaoxin Su Yipeng Zhou Laizhong Cui John C. S. Lui Jiangchuan Liu FedML 29 1 0 06 Feb 2024
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 44 1 0 16 Nov 2023
AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems Sasu Tarkoma Roberto Morabito Jaakko Sauvola 23 19 0 10 Nov 2023
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data Jiaqi Shao Shanshan Han Chaoyang He B. Luo FedML 28 1 0 05 Jul 2023
Federated Learning with Flexible Control Shiqiang Wang Jake B. Perazzone Mingyue Ji Kevin S. Chan FedML 28 17 0 16 Dec 2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning Xinyu Zhou Jun Zhao Huimei Han C. Guet FedML 45 27 0 29 Sep 2022
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption L. Pilla 21 15 0 13 Sep 2022
A Fast Blockchain-based Federated Learning Framework with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou FedML 14 23 0 12 Aug 2022
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 18 27 0 19 Jul 2022
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation Qian Chen Zilong Wang Jiawei Chen Haonan Yan Xiaodong Lin FedML 8 17 0 08 Jun 2022
Towards Communication-Learning Trade-off for Federated Learning at the Network Edge Jian-ji Ren Wanli Ni Hui Tian FedML 17 15 0 27 May 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption Sam Leroux Pieter Simoens Meelis Lootus Kartik Thakore Akshay Sharma 19 16 0 21 Mar 2022
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 14 23 0 15 Nov 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis Yi Liu Yuanshao Zhu James J. Q. Yu FedML 27 28 0 14 Oct 2021
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 49 72 0 12 Sep 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 13 29 0 01 Apr 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 181 267 0 26 Feb 2021
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018