On the capacity of secure distributed matrix multiplication WT Chang, R Tandon 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 131 | 2018 |
MAC aware quantization for distributed gradient descent WT Chang, R Tandon GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 64* | 2020 |
On the upload versus download cost for secure and private matrix multiplication WT Chang, R Tandon 2019 IEEE Information Theory Workshop (ITW), 1-5, 2019 | 51 | 2019 |
Privacy amplification for federated learning via user sampling and wireless aggregation MSE Mohamed, WT Chang, R Tandon IEEE Journal on Selected Areas in Communications 39 (12), 3821-3835, 2021 | 45 | 2021 |
On the tradeoff between mode collapse and sample quality in generative adversarial networks S Adiga, MA Attia, WT Chang, R Tandon 2018 IEEE global conference on signal and information processing (GlobalSIP …, 2018 | 34 | 2018 |
Random sampling for distributed coded matrix multiplication WT Chang, R Tandon ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 12 | 2019 |
Cache-aided content delivery in fog-RAN systems with topological information and no CSI WT Chang, R Tandon, O Simeone 2017 51st Asilomar Conference on Signals, Systems, and Computers, 526-530, 2017 | 5 | 2017 |
Heterogeneity aware two-stage group testing MA Attia, WT Chang, R Tandon IEEE Transactions on Signal Processing 69, 3977-3990, 2021 | 4 | 2021 |
Differentially Private Federated Learning with Drift Control WT Chang, M Seif, R Tandon 2022 56th Annual Conference on Information Sciences and Systems (CISS), 240-245, 2022 | 3 | 2022 |
On the capacity of secure distributed fast Fourier transform WT Chang, R Tandon 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 3 | 2018 |
On the necessity of aligning gradients for wireless federated learning WT Chang, MSE Mohamed, R Tandon 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 2 | 2021 |
Privacy and Communication Efficiency in Distributed Computing and Learning WT Chang The University of Arizona, 2022 | | 2022 |