11 citations · 25 across the 6 of their papers we have counts for
14 papers
Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD
Feng Zhu, Jingjing Zhang, Osvaldo Simeone +1
Wall-clock convergence time and communication load are key performance metrics for the distributed implementation of stochastic gradient descent (SGD) in parameter server settings.…
Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations
Siyuan Wang, Qifa Yan, Jingjing Zhang +2
Matrix factorization is an important representation learning algorithm, e.g., recommender systems, where a large matrix can be factorized into the product of two low dimensional ma…
Coded Computing and Cooperative Transmission for Wireless Distributed Matrix Multiplication
Kuikui Li, Meixia Tao, Jingjing Zhang +1
Consider a multi-cell mobile edge computing network, in which each user wishes to compute the product of a user-generated data matrix with a network-stored matrix. This is done thr…
ITENE: Intrinsic Transfer Entropy Neural Estimator
Jingjing Zhang, Osvaldo Simeone, Zoran Cvetkovic +2
Quantifying the directionality of information flow is instrumental in understanding, and possibly controlling, the operation of many complex systems, such as transportation, social…
Fundamental Limits of Wireless Caching under Uneven-Capacity Channels
Eleftherios Lampiris, Jingjing Zhang, Osvaldo Simeone +1
This work identifies the fundamental limits of cache-aided coded multicasting in the presence of the well-known `worst-user' bottleneck. This stems from the presence of receiving u…
LAGC: Lazily Aggregated Gradient Coding for Straggler-Tolerant and Communication-Efficient Distributed Learning
Jingjing Zhang, Osvaldo Simeone
Gradient-based distributed learning in Parameter Server (PS) computing architectures is subject to random delays due to straggling worker nodes, as well as to possible communicatio…