Distributed source coding represents a paradigm shift in data compression, wherein multiple correlated sources are encoded independently while still enabling joint decoding. This approach contrasts ...

For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving toward a world of distributed data centers.