ICML 2025PastOther
ICML 2025 Workshop on Machine Learning for Wireless Communication and Networks (ML4Wireless)
ICML Workshop on ML4Wireless
- Submission deadline
- May 27, 2025, 13:29 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (33)
Fetched from OpenReview (v2) on 2026-06-10.
AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twins
BiCompFL: Bi-Directional Compression for Stochastic Federated Learning
Continual Learning for Wireless Channel Prediction
Deep Unfolding with Kernel-based Quantization in MIMO Detection
Deep-OFDM: Robust Neural Modulation for High Mobility
DSSD: Efficient Edge-Device LLM Deployment and Collaborative Inference via Distributed Split Speculative Decoding
Efficient and Robust Semantic Image Communication via Stable Cascade
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks
Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management
Maximizing Channel Capacity in Semantic Communication: A Classifier-Based Mutual Information Estimation Approach
MoE-CE: Enhancing Generalization for Deep Learning based Channel Estimation via a Mixture-of-Experts Framework
Neural Augmented Kalman Filters for Road Network assisted GNSS positioning
Neural Network-Driven Estimation of Hardware Impairments for Robust Wireless Device Identification
On-Device LLM for Context-Aware Wi-Fi Roaming
Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN
Personalized Language-Oriented Semantic Communication
Physics-Informed Parametric Bandits for Beam Alignment in mmWave Communications
Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks
Position: The field of small language models needs greater attention and a more systematic approach from the CS research community
Prompting Wireless Networks: Reinforced In-Context Learning for Power Control
Residual Diffusion Models for Joint Source Channel Coding of MIMO CSI
Semantic Subgraph Extraction Attacks To Convolutional Neural Networks
Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels
SINF: Semantic Inference in Neural Networks with Semantic Subgraphs
Specification Generation for Neural Networks in Networking Systems
Tackling Spatial-Temporal Data Heterogeneity for Federated Continual Learning in Edge Networks
TCNet: A Unified Framework for CSI Feedback Compression Leveraging Language Model as Lossless Compressor
Towards a Foundation Model for Communication Systems
Towards Constraint-aware Learning for Resource Allocation in NFV Networks
Ultra-Efficient and Effective Large Language Models with Multi-Boolean Architectures
ULTRA: UNet Helps Transformer to Forecast The Network States in 5G Network
Uncertainty-Aware Opportunistic Hybrid Language Model in Wireless Robotic Systems
Uplink-Aware Federated Learning Based on Model Pruning in Satellite Networks