Amirhossein Reisizadeh

Orcid: 0000-0002-1730-8402

According to our database1, Amirhossein Reisizadeh authored at least 27 papers between 2015 and 2024.

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Bibliography

2024
Robust Decentralized Learning with Local Updates and Gradient Tracking.
CoRR, 2024

Communication-efficient and Decentralized Federated Minimax Optimization.
Proceedings of the 60th Annual Allerton Conference on Communication, 2024

EM for Mixture of Linear Regression with Clustered Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Variance-reduced Clipping for Non-convex Optimization.
CoRR, 2023

Adaptive Low-Rank Gradient Descent.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Gradient Descent with Low-Rank Objective Functions.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning.
IEEE/ACM Trans. Netw., 2022

Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity.
IEEE J. Sel. Areas Inf. Theory, 2022

An Optimal Transport Approach to Personalized Federated Learning.
IEEE J. Sel. Areas Inf. Theory, 2022

Gradient Descent for Low-Rank Functions.
CoRR, 2022

Adaptive Node Participation for Straggler-Resilient Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Robust and Efficient Algorithms for Federated Learning and Distributed Computing
PhD thesis, 2021

2020
Coded Computing for Distributed Graph Analytics.
IEEE Trans. Inf. Theory, 2020

Robust Federated Learning: The Case of Affine Distribution Shifts.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hierarchical Coded Gradient Aggregation for Learning at the Edge.
Proceedings of the IEEE International Symposium on Information Theory, 2020

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
An Exact Quantized Decentralized Gradient Descent Algorithm.
IEEE Trans. Signal Process., 2019

Coded Computation Over Heterogeneous Clusters.
IEEE Trans. Inf. Theory, 2019

Robust and Communication-Efficient Collaborative Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Tree Gradient Coding.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Sub-linear Time Stochastic Threshold Group Testing via Sparse-Graph Codes.
Proceedings of the IEEE Information Theory Workshop, 2018

Quantized Decentralized Consensus Optimization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Latency analysis of coded computation schemes over wireless networks.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Multilevel group testing via sparse-graph codes.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Optimized Design of Finite-Length Separable Circulant-Based Spatially-Coupled Codes: An Absorbing Set-Based Analysis.
IEEE Trans. Commun., 2016

Approximate file synchronization: Upper bounds and interactive algorithms.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

2015
Optimized array-based spatially-coupled LDPC Codes: An absorbing set approach.
Proceedings of the IEEE International Symposium on Information Theory, 2015


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