12 citations · 15 across the 11 of their papers we have counts for
11 papers
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
Jiayi Wang, Shiqiang Wang, Rong-Rong Chen +1
In federated learning (FL), data heterogeneity is the main reason that existing theoretical analyses are pessimistic about the convergence rate. In particular, for many FL algorith…
Decentralized Uncoded Storage Elastic Computing with Heterogeneous Computation Speeds
Wenbo Huang, Xudong You, Kai Wan +2
Elasticity plays an important role in modern cloud computing systems. Elastic computing allows virtual machines (i.e., computing nodes) to be preempted when high-priority jobs aris…
SPARC-LoRa: A Scalable, Power-efficient, Affordable, Reliable, and Cloud Service-enabled LoRa Networking System for Agriculture Applications
Xi Wang, Bryan Hatasaka, Zhengyan Liu +10
With the rapid development of cloud and edge computing, Internet of Things (IoT) applications have been deployed in various aspects of human life. In this paper, we design and impl…
Uncoded Storage Coded Transmission Elastic Computing with Straggler Tolerance in Heterogeneous Systems
Xi Zhong, Joerg Kliewer, Mingyue Ji
In 2018, Yang et al. introduced a novel and effective approach, using maximum distance separable (MDS) codes, to mitigate the impact of elasticity in cloud computing systems. This…
Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challenges
Ethan Zhu, Haijian Sun, Mingyue Ji
Channel modeling is fundamental in advancing wireless systems and has thus attracted considerable research focus. Recent trends have seen a growing reliance on data-driven techniqu…
The Capacity Region of Information Theoretic Secure Aggregation with Uncoded Groupwise Keys
Kai Wan, Hua Sun, Mingyue Ji +2
This paper considers the secure aggregation problem for federated learning under an information theoretic cryptographic formulation, where distributed training nodes (referred to a…