Amirhossein Reisizadeh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Distributed Sensor Networks

Directed Acyclic

Low Rank Matrices

Top Venues

IEEE Trans. Inf. Theory

Publications

Amirhossein Reisizadeh, Khashayar Gatmiry, Asuman E. Ozdaglar
EM for Mixture of Linear Regression with Clustered Data. AISTATS (2024)
Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani
Robust Decentralized Learning with Local Updates and Gradient Tracking. CoRR (2024)
Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh
Adaptive Low-Rank Gradient Descent. CDC (2023)
Amirhossein Reisizadeh, Khashayar Gatmiry, Asuman E. Ozdaglar
EM for Mixture of Linear Regression with Clustered Data. CoRR (2023)
Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie
Variance-reduced Clipping for Non-convex Optimization. CoRR (2023)
Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
Gradient Descent with Low-Rank Objective Functions. CDC (2023)
Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie
An Optimal Transport Approach to Personalized Federated Learning. IEEE J. Sel. Areas Inf. Theory 3 (2) (2022)
Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie
An Optimal Transport Approach to Personalized Federated Learning. CoRR (2022)
Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. IEEE J. Sel. Areas Inf. Theory 3 (2) (2022)
Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
Gradient Descent for Low-Rank Functions. CoRR (2022)
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. IEEE/ACM Trans. Netw. 30 (1) (2022)
Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani
Adaptive Node Participation for Straggler-Resilient Federated Learning. ICASSP (2022)
Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr
Hierarchical Coded Gradient Aggregation for Learning at the Edge. ISIT (2020)
Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. CoRR (2020)
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie
Robust Federated Learning: The Case of Affine Distribution Shifts. CoRR (2020)
Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr
Coded Computing for Distributed Graph Analytics. IEEE Trans. Inf. Theory 66 (10) (2020)
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie
Robust Federated Learning: The Case of Affine Distribution Shifts. NeurIPS (2020)
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. AISTATS (2020)
Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
Robust and Communication-Efficient Collaborative Learning. NeurIPS (2019)
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. CoRR (2019)
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
An Exact Quantized Decentralized Gradient Descent Algorithm. IEEE Trans. Signal Process. 67 (19) (2019)
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
Coded Computation Over Heterogeneous Clusters. IEEE Trans. Inf. Theory 65 (7) (2019)
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. CoRR (2019)
Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
Robust and Communication-Efficient Collaborative Learning. CoRR (2019)
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
Tree Gradient Coding. ISIT (2019)
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
Quantized Decentralized Consensus Optimization. CDC (2018)
Amirhossein Reisizadeh, Aryan Mokhtari, S. Hamed Hassani, Ramtin Pedarsani
Quantized Decentralized Consensus Optimization. CoRR (2018)
Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr
Coded Computing for Distributed Graph Analytics. CoRR (2018)
Amirhossein Reisizadeh, Pedro Abdalla, Ramtin Pedarsani
Sub-linear Time Stochastic Threshold Group Testing via Sparse-Graph Codes. ITW (2018)
Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr
Coded Computing for Distributed Graph Analytics. ISIT (2018)
Amirhossein Reisizadeh, Ramtin Pedarsani
Latency analysis of coded computation schemes over wireless networks. Allerton (2017)
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr
Coded computation over heterogeneous clusters. ISIT (2017)
Pedro Abdalla, Amirhossein Reisizadeh, Ramtin Pedarsani
Multilevel group testing via sparse-graph codes. ACSSC (2017)
Amirhossein Reisizadeh, Ramtin Pedarsani
Latency Analysis of Coded Computation Schemes over Wireless Networks. CoRR (2017)
Behzad Amiri, Amirhossein Reisizadeh, Jörg Kliewer, Lara Dolecek
Optimized array-based spatially-coupled LDPC Codes: An absorbing set approach. ISIT (2015)