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cs.LG2026
Distributed Perceptron under Bounded Staleness, Partial Participation, and Noisy Communication
Keval Jain, Anant Raj, Saurav Prakash +1
We study a semi-asynchronous client-server perceptron trained via iterative parameter mixing (IPM-style averaging): clients run local perceptron updates and a server forms a global…
cs.LG2021
CInC Flow: Characterizable Invertible 3x3 Convolution
Sandeep Nagar, Marius Dufraisse, Girish Varma
Normalizing flows are an essential alternative to GANs for generative modelling, which can be optimized directly on the maximum likelihood of the dataset. They also allow computati…