2025
Tight analyses of first-order methods with error feedback
NeurIPS 2025poster
Communication between agents often constitutes a major computational bottleneck in distributed learning. One of the most common mitigation strategies is to compress the information exchanged, thereby reducing communication overhead. To counteract the degradation in convergence associated with compre…