Finite-Bit Quantization For Distributed Algorithms With Linear Convergence

23 July 2021

Papers citing "Finite-Bit Quantization For Distributed Algorithms With Linear Convergence"

8 / 8 papers shown

Title
Differential error feedback for communication-efficient decentralized learning Roula Nassif Stefan Vlaski Marco Carpentiero Vincenzo Matta Ali H. Sayed 41 0 0 26 Jun 2024
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling Nicolò Dal Fabbro A. Mitra George J. Pappas FedML 42 12 0 14 May 2023
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence Kun-Yen Huang Shin-Yi Pu 43 9 0 14 Jan 2023
Non-Coherent Over-the-Air Decentralized Gradient Descent Nicolò Michelusi 36 6 0 19 Nov 2022
Quantization for decentralized learning under subspace constraints Roula Nassif Stefan Vlaski Marco Carpentiero Vincenzo Matta Marc Antonini Ali H. Sayed 32 29 0 16 Sep 2022
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 32 7 0 06 Jan 2022
Distributed Adaptive Learning Under Communication Constraints Marco Carpentiero Vincenzo Matta Ali H. Sayed 29 17 0 03 Dec 2021
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi Vaneet Aggarwal David J. Love H. Dai 29 91 0 18 Jul 2020