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Found 5 papers, 0 papers with code
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
This framework splits the learning model into a global part with model pruning shared with all devices to learn data representations and a personalized part to be fine-tuned for a specific device, which adapts the model size during FL to reduce both computation and communication latency and increases the learning accuracy for devices with non-independent and identically distributed data.
Interference and noise cancellation for joint communication radar (JCR) system based on contextual information
This paper examines the separation of wireless communication and radar signals, thereby guaranteeing cohabitation and acting as a panacea to spectrum sensing.
A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids
In this paper, we design a first of its kind transceiver (PHY layer) prototype for cloud-based audio-visual (AV) speech enhancement (SE) complying with high data rate and low latency requirements of future multimodal hearing assistive technology.
Reinforcement Learning based Per-antenna Discrete Power Control for Massive MIMO Systems
Power consumption is one of the major issues in massive MIMO (multiple input multiple output) systems, causing increased long-term operational cost and overheating issues.
Deep Networks for Direction-of-Arrival Estimation in Low SNR
The proposed architecture demonstrates enhanced robustness in the presence of noise, and resilience to a small number of snapshots.
