RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization

22 August 2019

Papers citing "RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization"

11 / 11 papers shown

Title
Correlated Quantization for Faster Nonconvex Distributed Optimization Andrei Panferov Yury Demidovich Ahmad Rammal Peter Richtárik MQ 47 4 0 10 Jan 2024
Matrix Compression via Randomized Low Rank and Low Precision Factorization R. Saha Varun Srivastava Mert Pilanci 26 19 0 17 Oct 2023
Fundamental Limits of Distributed Optimization over Multiple Access Channel Shubham K. Jha 23 1 0 05 Oct 2023
Linear Stochastic Bandits over a Bit-Constrained Channel A. Mitra Hamed Hassani George J. Pappas 42 8 0 02 Mar 2022
Wyner-Ziv Gradient Compression for Federated Learning Kai Liang Huiru Zhong Haoning Chen Youlong Wu FedML 23 8 0 16 Nov 2021
Solving Multi-Arm Bandit Using a Few Bits of Communication Osama A. Hanna Lin F. Yang Christina Fragouli 24 16 0 11 Nov 2021
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation Divyansh Jhunjhunwala Ankur Mallick Advait Gadhikar S. Kadhe Gauri Joshi 24 10 0 14 Oct 2021
Fundamental limits of over-the-air optimization: Are analog schemes optimal? Shubham K. Jha Prathamesh Mayekar Himanshu Tyagi 24 7 0 11 Sep 2021
Efficient Randomized Subspace Embeddings for Distributed Optimization under a Communication Budget R. Saha Mert Pilanci Andrea J. Goldsmith 34 5 0 13 Mar 2021
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 28 141 0 02 Nov 2019
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles Xiaowei Hu A. PrashanthL. András Gyorgy Csaba Szepesvári 84 65 0 22 Sep 2016