output
20152024
most citedFederated Learning Based on Dynamic Regularization

114 citations

13 papers

cs.LO2022

Proceedings Seventeenth International Workshop on the ACL2 Theorem Prover and its Applications

Rob Sumners, Cuong Chau

This volume contains a selection of papers presented at the 17th International Workshop on the ACL2 Theorem Prover and its Applications (ACL2 2022). The workshops are the premier t…

cs.LG2022

Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics

Jeya Vikranth Jeyakumar, Ludmila Cherkasova, Saina Lajevardi +4

The IoT vision of a trillion connected devices over the next decade requires reliable end-to-end connectivity and automated device management platforms. While we have seen successf…

cs.LG2021114 cited

Federated Learning Based on Dynamic Regularization

Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro +3

We propose a novel federated learning method for distributively training neural network models, where the server orchestrates cooperation between a subset of randomly chosen device…

cs.AR2021

Virtual-Link: A Scalable Multi-Producer, Multi-Consumer Message Queue Architecture for Cross-Core Communication

Qinzhe Wu, Jonathan Beard, Ashen Ekanayake +2

Cross-core communication is increasingly a bottleneck as the number of processing elements increase per system-on-chip. Typical hardware solutions to cross-core communication are o…

cs.LG2020

Fast IR Drop Estimation with Machine Learning

Zhiyao Xie, Hai Li, Xiaoqing Xu +2

IR drop constraint is a fundamental requirement enforced in almost all chip designs. However, its evaluation takes a long time, and mitigation techniques for fixing violations may…

cs.LO2020

Formal Verification of Arithmetic RTL: Translating Verilog to C++ to ACL2

David M. Russinoff

We present a methodology for formal verification of arithmetic RTL designs that combines sequential logic equivalence checking with interactive theorem proving. An intermediate mod…