Erasure Channel

Erasure channels model communication systems where data packets are lost with a certain probability, impacting various applications from distributed machine learning to text transmission. Current research focuses on developing algorithms robust to these losses, particularly within multi-agent systems and federated learning frameworks, often employing techniques like quantized communication and incorporating prediction models to mitigate the effects of data erasure. This work is significant because it addresses a fundamental limitation in distributed systems, enabling more efficient and reliable operation in scenarios with unreliable communication links, with implications for diverse fields including robotics, networking, and natural language processing.