Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2106.06796
Cited By
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning
12 June 2021
Madhusanka Manimel Wadu
S. Samarakoon
M. Bennis
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning"
13 / 13 papers shown
Title
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
Xiaojing Chen
Zhenyuan Li
Wei Ni
Xin Wang
Shunqing Zhang
Yanzan Sun
Shugong Xu
Qingqi Pei
30
2
0
21 Jun 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
43
1
0
19 Apr 2024
Differentially Private Wireless Federated Learning Using Orthogonal Sequences
Xizixiang Wei
Tianhao Wang
Ruiquan Huang
Cong Shen
Jing Yang
H. Vincent Poor
31
1
0
14 Jun 2023
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
19
62
0
14 Dec 2022
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks
Xiumei Deng
Jun Li
Chuan Ma
Kang Wei
Long Shi
Ming Ding
Wen Chen
FedML
12
35
0
26 Oct 2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Xizixiang Wei
Cong Shen
Jing Yang
H. Vincent Poor
37
14
0
18 Oct 2022
Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning
Cihat Keçeci
M. Shaqfeh
F. Al-Qahtani
Muhammad Ismail
E. Serpedin
FedML
18
4
0
15 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
19
397
0
01 Jun 2022
Time-triggered Federated Learning over Wireless Networks
Xiaokang Zhou
Yansha Deng
Huiyun Xia
Shaochuan Wu
M. Bennis
FedML
9
20
0
26 Apr 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
26
414
0
24 Nov 2021
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks
Sawan Singh Mahara
M. Shruti
B. Bharath
Akash Murthy
FedML
25
0
0
05 Aug 2021
Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks
Mohammed S. Al-Abiad
Md. Zoheb Hassan
Md. Jahangir Hossain
23
7
0
07 Jul 2021
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge
M. Amiri
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
63
169
0
28 Jan 2020
1