62 citations · 170 across the 44 of their papers we have counts for
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cs.LG2021
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
Sameer Bibikar, Haris Vikalo, Zhangyang Wang +1
Federated learning (FL) enables distribution of machine learning workloads from the cloud to resource-limited edge devices. Unfortunately, current deep networks remain not only too…
cs.LG2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Sangsu Lee, Xi Zheng, Jie Hua +2
Pervasive computing applications commonly involve user's personal smartphones collecting data to influence application behavior. Applications are often backed by models that learn…
eess.SY2021★ 2 cited
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
We consider the problem of decentralized optimization over time-varying directed networks. The network nodes can access only their local objectives, and aim to collaboratively mini…