Azimi-Abarghouyi et al., 2024 - Google Patents
Scalable hierarchical over-the-air federated learningAzimi-Abarghouyi et al., 2024
View PDF- Document ID
- 15908469788921651677
- Author
- Azimi-Abarghouyi S
- Fodor V
- Publication year
- Publication venue
- IEEE Transactions on Wireless Communications
External Links
Snippet
When implementing hierarchical federated learning over wireless networks, scalability assurance and the ability to handle both interference and device data heterogeneity are crucial. This work introduces a new two-level learning method designed to address these …
- 230000002776 aggregation 0 abstract description 37
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
- H04B7/022—Site diversity; Macro-diversity
- H04B7/024—Co-operative use of antennas of several sites, e.g. in co-ordinated multipoint or co-operative multiple-input multiple-output [MIMO] systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0619—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
- H04B7/0621—Feedback content
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W52/00—Power Management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
- H04W72/04—Wireless resource allocation
- H04W72/0406—Wireless resource allocation involving control information exchange between nodes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W28/00—Network traffic or resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
- H04W72/12—Dynamic Wireless traffic scheduling; Dynamically scheduled allocation on shared channel
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organizing networks, e.g. ad-hoc networks or sensor networks
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Amiri et al. | Convergence of federated learning over a noisy downlink | |
Lin et al. | Semi-decentralized federated learning with cooperative D2D local model aggregations | |
Zhu et al. | One-bit over-the-air aggregation for communication-efficient federated edge learning: Design and convergence analysis | |
Amiri et al. | Federated learning over wireless fading channels | |
Guo et al. | Analog gradient aggregation for federated learning over wireless networks: Customized design and convergence analysis | |
Zhao et al. | Unified analysis of coordinated multipoint transmissions in mmWave cellular networks | |
Gao et al. | Energy-efficient and low-latency massive SIMO using noncoherent ML detection for industrial IoT communications | |
Azimi-Abarghouyi et al. | Scalable hierarchical over-the-air federated learning | |
CN107528624B (en) | Design method of steady beam forming based on non-orthogonal multiple access technology | |
Xiao et al. | Power allocation with energy efficiency optimization in cellular D2D-based V2X communication network | |
Zhang et al. | Cell-free massive MIMO: Zero forcing and conjugate beamforming receivers | |
Zhang et al. | Deep learning based user association in heterogeneous wireless networks | |
He et al. | Design and optimization of scheduling and non-orthogonal multiple access algorithms with imperfect channel state information | |
Govindasamy et al. | Uplink performance of multi-antenna cellular networks with co-operative base stations and user-centric clustering | |
Ding et al. | Resource allocation for low-latency NOMA-V2X networks using reinforcement learning | |
Bai et al. | Uplink massive MIMO SIR analysis: How do antennas scale with users? | |
Zeng et al. | Achieving energy-efficient massive URLLC over cell-free massive MIMO | |
Mahmoud et al. | Federated learning resource optimization and client selection for total energy minimization under outage, latency, and bandwidth constraints with partial or no CSI | |
Zhang et al. | Large system analysis of downlink MISO-NOMA system via regularized zero-forcing precoding with imperfect CSIT | |
Sifaou et al. | Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO | |
Azimi-Abarghouyi et al. | Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity | |
Yue et al. | Robust cooperative spectrum sensing schemes for fading channels in cognitive radio networks | |
Makki et al. | Delay-sensitive area spectral efficiency: A performance metric for delay-constrained green networks | |
Wang et al. | Federated learning for precoding design in cell-free massive mimo systems | |
Jeong et al. | DRL-Based Resource Allocation for NOMA-Enabled D2D Communications Underlay Cellular Networks |