Cover Image

Channel Prediction under Network Distribution Shift Using Continual Learning-based Loss Regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohsin, Muhammad Ahmed, Umer, Muhammad, Bilal, Ahsan, Qadir, Muhammad Ibtsaam, Jamshed, Muhammad Ali, Hougen, Dean F., Cioffi, John M.
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

6G Twin: Hybrid Gaussian Radio Fields for Channel Estimation and Non-Linear Precoder Design for Radio Access Networks
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Conditional Prior-based Non-stationary Channel Estimation Using Accelerated Diffusion Models
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Transformer-Based Sparse CSI Estimation for Non-Stationary Channels
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

On the Fundamental Limits of LLMs at Scale
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Net-Zero 6G from Earth to Orbit: Sustainable Design of Integrated Terrestrial and Non-Terrestrial Networks
by: Jamshed, Muhammad Ali, et al.
Published: (2025)

Reconfigurable Holographic Surfaces and Near Field Communication for Non-Terrestrial Networks: Potential and Challenges
by: Jamshed, Muhammad Ali, et al.
Published: (2025)

Computation Offloading Strategies in Integrated Terrestrial and Non-Terrestrial Networks
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Machine Learning-Driven Performance Analysis of Compressed Communication in Aerial-RIS Networks for Future 6G Networks
by: Khan, Muhammad Farhan, et al.
Published: (2025)

Communication Efficient Byzantine Agreement with Predictions
by: Dzulfikar, Muhammad Ayaz, et al.
Published: (2026)

Continual Learning for Wireless Channel Prediction
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Mobile Edge Computing
by: Ahmed, Sohaib, et al.
Published: (2024)

Seer: Predictive Runtime Kernel Selection for Irregular Problems
by: Swann, Ryan, et al.
Published: (2024)

Autonomous Trajectory Optimization for UAVs in Disaster Zone Using Henry Gas Optimization Scheme
by: Qadir, Zakria, et al.
Published: (2025)

scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation
by: Farahmand, Ebrahim, et al.
Published: (2023)

CheckMate: LLM-Powered Approximate Intermittent Computing
by: Sayyid-Ali, Abdur-Rahman Ibrahim, et al.
Published: (2024)

Iris: First-Class Multi-GPU Programming Experience in Triton
by: Awad, Muhammad, et al.
Published: (2025)

Byzantine Agreement with Predictions
by: Ben-David, Naama, et al.
Published: (2025)

Fuzzy Logic-based Robust Failure Handling Mechanism for Fog Computing
by: Naha, Ranesh, et al.
Published: (2021)

Distributed Hierarchical Machine Learning for Joint Resource Allocation and Slice Selection in In-Network Edge Systems
by: Rashid, Sulaiman Muhammad, et al.
Published: (2025)

An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder
by: Kargar-Barzi, Amin, et al.
Published: (2023)

Containerization in Multi-Cloud Environment: Roles, Strategies, Challenges, and Solutions for Effective Implementation
by: Waseem, Muhammad, et al.
Published: (2024)

QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
by: Aslan, Haci Ismail, et al.
Published: (2025)

Agentic Fog: A Policy-driven Framework for Distributed Intelligence in Fog Computing
by: Akbar, Saeed, et al.
Published: (2026)

SkyHOST: A Unified Architecture for Cross-Cloud Hybrid Object and Stream Transfer
by: Tariq, Muhammad Arslan, et al.
Published: (2026)

A Two-Level Thermal Cycling-aware Task Mapping Technique for Reliability Management in Manycore Systems
by: Khani, Fatemeh Hossein, et al.
Published: (2024)

LEISA: A Scalable Microservice-based System for Efficient Livestock Data Sharing
by: Habib, Mahir, et al.
Published: (2025)

Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment
by: Qazi, Muhammad Azlan, et al.
Published: (2026)

Eliminating Multi-GPU Performance Taxes: A Systems Approach to Efficient Distributed LLMs
by: Trifan, Octavian Alexandru, et al.
Published: (2025)

Cooling Matters: Benchmarking Large Language Models and Vision-Language Models on Liquid-Cooled Versus Air-Cooled H100 GPU Systems
by: Latif, Imran, et al.
Published: (2025)

Towards Secure Management of Edge-Cloud IoT Microservices using Policy as Code
by: Pallewatta, Samodha, et al.
Published: (2024)

Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
by: Liang, Yipeng, et al.
Published: (2025)

Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing
by: Tegin, Busra, et al.
Published: (2025)

DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing
by: Nguyen, Hoa T., et al.
Published: (2024)

Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training
by: Adnan, Muhammad, et al.
Published: (2024)

OptiNIC: A Resilient and Tail-Optimal RDMA NIC for Distributed ML Workloads
by: Warraich, Ertza, et al.
Published: (2025)

Distributed Training under Packet Loss
by: Weintraub, Erez, et al.
Published: (2025)

Efficient Signature-Free Validated Agreement
by: Civit, Pierre, et al.
Published: (2024)

Partial Synchrony for Free? New Upper Bounds for Byzantine Agreement
by: Civit, Pierre, et al.
Published: (2024)

THEAS: Efficient Power Management in Multi-Core CPUs via Cache-Aware Resource Scheduling
by: Muhammad, Said, et al.
Published: (2025)