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Seyyedali Hosseinalipour

DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach

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Jun 11, 2024
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Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels

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Apr 15, 2024
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Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection

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Apr 09, 2024
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Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees

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Feb 05, 2024
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Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training

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Feb 03, 2024
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Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities

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Jan 07, 2024
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Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches

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Dec 31, 2023
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Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading

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Dec 23, 2023
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Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks

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Nov 07, 2023
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GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds

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Jul 03, 2023
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