The IEEE International Workshop on Machine Learning for Signal Processing (MLSP) is an annual event organized by the IEEE Signal Processing Society MLSP Technical Committee. The 34^th MLSP will take place in Imperial College London, United Kingdom. The IEEE MLSP 2024 will solicit papers that are devoted to the most recent and exciting advances in machine learning for signal processing. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to:

• Advanced optimisation methods
• Bayesian and probabilistic inference
• Data analytics on graphs
• Distributed/federated learning
• Domain-aware processing
• Information theory for learning
• Learning from multimodal data
• Machine intelligence for education
• Meta/transfer learning
• Privacy and fairness in machine learning
• Tensor-based signal processing

• Applications of machine learning
• Biosignal processing and learning
• Decentralised and edge communication,
  computing, and processing
• Deep learning techniques
• Graph representation learning
• Kernel and dictionary learning methods
• Learning theory and algorithms
• Matrix and tensor learning methods
• Pattern recognition and classification
• Subspace and manifold learning
• Virtual and augmented reality data processing

For more information, please refer to our Call for Papers page or the CFP file.