| Federated learning in massive MIMO 6G networks: Convergence analysis and communication-efficient design Y Mu, N Garg, T Ratnarajah IEEE Transactions on Network Science and Engineering 9 (6), 4220-4234, 2022 | 31 | 2022 |
| SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning H Lin, V Hosu, C Fan, Y Zhang, Y Mu, R Hamzaoui, D Saupe Quality and User Experience 5, 1-23, 2020 | 27 | 2020 |
| Communication-efficient federated learning for massive MIMO systems Y Mu, N Garg, T Ratnarajah 2022 IEEE Wireless Communications and Networking Conference (WCNC), 578-583, 2022 | 6 | 2022 |
| Federated Distillation in Massive MIMO Networks: Dynamic Training, Convergence Analysis and Communication Channel-Aware Learning Y Mu, N Garg, T Ratnarajah IEEE Transactions on Cognitive Communications and Networking, 2024 | 3 | 2024 |
| Optimizing efficiency through adaptive model pruning in fully distributed federated learning Y Mu, X Liu, T Ratnarajah 2024 IEEE 25th International Workshop on Signal Processing Advances in …, 2024 | 1 | 2024 |
| Communication Channel-Aware Federated Distillation For Massive MIMO Systems Y Mu, N Garg, T Ratnarajah 2023 IEEE 24th International Workshop on Signal Processing Advances in …, 2023 | 1 | 2023 |
| Distributed learning techniques for future wireless networks Y Mu The University of Edinburgh, 2024 | | 2024 |
