Parallel Successive Learning for Dynamic Distributed Model Training over
Heterogeneous Wireless Networks

Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks

7 February 2022

Seyyedali Hosseinalipour

Nicolò Michelusi

Vaneet Aggarwal

Christopher G. Brinton

Papers citing "Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks"

12 / 12 papers shown

Title
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions Maryam Ebrahimi Rajeev Sahay Seyyedali Hosseinalipour Bita Akram 76 1 0 20 Jan 2025
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks Md Ferdous Pervej Minseok Choi A. Molisch 38 0 0 12 Aug 2024
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 53 80 0 21 Aug 2023
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts Kun Jin Tongxin Yin Zhong Chen Zeyu Sun Xueru Zhang Yang Liu Mingyan D. Liu OOD FedML 36 7 0 08 May 2023
Delay-Aware Hierarchical Federated Learning F. Lin Seyyedali Hosseinalipour Nicolò Michelusi Christopher G. Brinton FedML 40 11 0 22 Mar 2023
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks Su Wang Seyyedali Hosseinalipour Vaneet Aggarwal Christopher G. Brinton David J. Love Wei-Long Su M. Chiang FedML 30 14 0 15 Mar 2023
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange Satyavrat Wagle Seyyedali Hosseinalipour Naji Khosravan M. Chiang Christopher G. Brinton FedML 56 5 0 04 Aug 2022
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing Dinh C. Nguyen Seyyedali Hosseinalipour David J. Love P. Pathirana Christopher G. Brinton 51 47 0 18 Mar 2022
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity David Nickel F. Lin Seyyedali Hosseinalipour Nicolò Michelusi Christopher G. Brinton FedML 34 1 0 27 Dec 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach Su Wang Seyyedali Hosseinalipour M. Gorlatova Christopher G. Brinton M. Chiang 45 37 0 29 Jun 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 87 110 0 04 Jan 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 1,692 0 14 Apr 2018