Machine learning over wireless networks

Subgradient Descent Learning with Over-the-Air Computation

Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach

Fully Distributed Federated Learning with Efficient Local Cooperations

M22: RATE-DISTORTION INSPIRED GRADIENT COMPRESSION

DEEP REINFORCEMENT LEARNING FOR GREEN UAV-ASSISTED DATA COLLECTION

Channel-driven decentralized Bayesian federated learning for trustworthy decision making in D2D networks

Maximum Likelihood Distillation for Robust Modulation Classification

Regularized Deep Generative Model Learning for Real-time Massive MIMO Channel Tracking

ADAPTIVE STEP-SIZE METHODS FOR COMPRESSED SGD

Filter Pruning via Filters Similarity in Consecutive Layers