Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge

28 January 2020

Deniz Gunduz

Papers citing "Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge"

24 / 24 papers shown

Title
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 44 0 0 08 Mar 2025
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection Jiaxiang Geng Boyu Li Xiaoqi Qin Yixuan Li Liang Li Yanzhao Hou Miao Pan FedML 38 0 0 01 Jul 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
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning Luca Ballotta Nicolò Dal Fabbro Giovanni Perin Luca Schenato Michele Rossi Giuseppe Piro 39 1 0 30 Nov 2023
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
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning Yuchang Sun Zehong Lin Yuyi Mao Shi Jin Jinchao Zhang 46 11 0 26 May 2023
Dynamic Scheduling for Federated Edge Learning with Streaming Data Chung-Hsuan Hu Zheng Chen Erik G. Larsson 24 4 0 02 May 2023
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning Marco Skocaj Pedro Enrique Iturria-Rivera Roberto Verdone Melike Erol-Kantarci 30 1 0 27 Jan 2023
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 32 115 0 03 Nov 2022
Over-the-Air Federated Edge Learning with Hierarchical Clustering Ozan Aygün M. Kazemi Deniz Gündüz T. Duman 22 5 0 19 Jul 2022
Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks Zhibin Wang Yong Zhou Yuanming Shi W. Zhuang 30 68 0 06 Jun 2022
Semi-Decentralized Federated Learning with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 36 32 0 23 May 2022
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 40 8 0 24 Feb 2022
Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling M. E. Ozfatura Junlin Zhao Deniz Gündüz 26 15 0 14 Sep 2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks Chenyuan Feng H. Yang Deshun Hu Zhiwei Zhao Tony Q. S. Quek Geyong Min 30 74 0 20 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 26 72 0 01 Aug 2021
Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning Chung-Hsuan Hu Zheng Chen Erik G. Larsson FedML 16 29 0 23 Jul 2021
Faithful Edge Federated Learning: Scalability and Privacy Meng Zhang Ermin Wei R. Berry FedML 15 44 0 30 Jun 2021
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning Madhusanka Manimel Wadu S. Samarakoon M. Bennis 18 51 0 12 Jun 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 35 401 0 05 Apr 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations F. Lin Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi FedML 22 109 0 18 Mar 2021
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni E. Hossain Xin Wang AI4CE 42 111 0 02 Dec 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 76 92 0 19 Oct 2020
Fast-Convergent Federated Learning Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton M. Chiang H. Vincent Poor FedML 24 191 0 26 Jul 2020