Signal, if You Can't - Error Correction in Fully Corrupted Networks

Explore error-correction techniques for transmitting information in severely corrupted networks through this 47-minute lecture by Ran Gelles from Bar-Ilan University. Delve into advanced methods for performing computations in asynchronous networks where all messages are subject to complete corruption. Learn about signaling techniques that go beyond traditional error-correction codes, which become ineffective when noise can corrupt entire transmissions. Gain insights into cutting-edge approaches for maintaining communication integrity in extremely challenging network conditions.

Signal, if you can’t (for the damage)