Cover Image

LoLaFL: Low-Latency Federated Learning via Forward-only Propagation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jierui, Huang, Jianhao, Huang, Kaibin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
by: Zhang, Jierui, et al.
Published: (2026)

Revisiting Outage for Edge Inference Systems
by: Wang, Zhanwei, et al.
Published: (2025)

Rail-only: A Low-Cost High-Performance Network for Training LLMs with Trillion Parameters
by: Wang, Weiyang, et al.
Published: (2023)

Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
by: Qu, Guanqiao, et al.
Published: (2024)

SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression
by: Lin, Zehang, et al.
Published: (2025)

Open World Learning Graph Convolution for Latency Estimation in Routing Networks
by: Jin, Yifei, et al.
Published: (2022)

EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure
by: Ding, Zihao, et al.
Published: (2026)

Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing
by: Gao, Song, et al.
Published: (2025)

Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking
by: Liu, Zhang, et al.
Published: (2025)

Network Topology Optimization via Deep Reinforcement Learning
by: Li, Zhuoran, et al.
Published: (2022)

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
by: Tang, Zhenheng, et al.
Published: (2024)

ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
by: Zhu, Guangyu, et al.
Published: (2024)

Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing
by: Qiang, Xianke, et al.
Published: (2024)

FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks
by: Chen, Qian, et al.
Published: (2024)

Data-Driven Radio Propagation Modeling using Graph Neural Networks
by: Bufort, Adrien, et al.
Published: (2025)

Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction
by: Zeydan, Engin, et al.
Published: (2025)

HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts
by: Fang, Zihan, et al.
Published: (2026)

Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks
by: Abdisarabshali, Payam, et al.
Published: (2023)

Federated Learning over a Wireless Network: Distributed User Selection through Random Access
by: Sun, Chen, et al.
Published: (2023)

An Agile Adaptation Method for Multi-mode Vehicle Communication Networks
by: He, Shiwen, et al.
Published: (2024)

Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning
by: Liu, Shengheng, et al.
Published: (2024)

Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network
by: Zheng, Chong, et al.
Published: (2024)

Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization
by: Zhang, Xinyuan, et al.
Published: (2024)

Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
by: Abdisarabshali, Payam, et al.
Published: (2024)

Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks
by: Zhang, Zongyuan, et al.
Published: (2025)

Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
by: Zheng, Bokeng, et al.
Published: (2025)

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
by: Su, Huai-an, et al.
Published: (2024)

Multi-grained spatial-temporal feature complementarity for accurate online cellular traffic prediction
by: Fu, Ningning, et al.
Published: (2025)

SafeSlice: Enabling SLA-Compliant O-RAN Slicing via Safe Deep Reinforcement Learning
by: Nagib, Ahmad M., et al.
Published: (2025)

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning
by: Long, Zijian, et al.
Published: (2025)

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
by: Liu, Qinshuo, et al.
Published: (2025)

Large Language Model (LLM)-enabled Reinforcement Learning for Wireless Network Optimization
by: Zheng, Jie, et al.
Published: (2026)

A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission
by: Huang, Wenjun, et al.
Published: (2024)

TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
by: Qu, Guanqiao, et al.
Published: (2024)

PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference
by: Qu, Guanqiao, et al.
Published: (2025)

Sample Efficient Experience Replay in Non-stationary Environments
by: Duan, Tianyang, et al.
Published: (2025)

Enabling Near-realtime Remote Sensing via Satellite-Ground Collaboration of Large Vision-Language Models
by: Li, Zihan, et al.
Published: (2025)

Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization
by: Oh, Myeung Suk, et al.
Published: (2025)

Coverage-aware and Reinforcement Learning Using Multi-agent Approach for HD Map QoS in a Realistic Environment
by: Redondo, Jeffrey, et al.
Published: (2024)

NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
by: Haider, Momin, et al.
Published: (2024)