The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning

Justin Kang , Ramtin Pedarsani , Kannan Ramchandran
Transactions on Machine Learning Research

8
2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models

Sajjad Ghiasvand , Yifan Yang , Zhiyu Xue , Mahnoosh Alizadeh
arXiv preprint arXiv:2410.13097

2024
Communication-efficient and Decentralized Federated Minimax Optimization

Sajjad Ghiasvand , Amirhossein Reisizadeh , Mahnoosh Alizadeh , Ramtin Pedarsani
2024 60th Annual Allerton Conference on Communication, Control, and Computing 01 -07

2024
Conflict-Aware Adversarial Training

Zhiyu Xue , Haohan Wang , Yao Qin , Ramtin Pedarsani
arXiv preprint arXiv:2410.16579

2024
Latency Analysis of Coded Computation Schemes over Wireless Networks

Ramtin Pedarsani , Amirhossein Reisizadeh
arXiv: Information Theory

40
2017
Maximizing Road Capacity Using Cars that Influence People

Ramtin Pedarsani , Dorsa Sadigh , Kabir Chandrasekher , Daniel A. Lazar
arXiv: Optimization and Control

32
2018
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning

Ramtin Pedarsani , Amirhossein Reisizadeh , Saurav Prakash , Amir Salman Avestimehr
arXiv: Machine Learning

21
2019
Robust Adversarial Learning via Sparsifying Front Ends

Soorya Gopalakrishnan , Zhinus Marzi , Metehan Cekic , Upamanyu Madhow
arXiv: Machine Learning

7
2018
Timely-Throughput Optimal Coded Computing over Cloud Networks

Ramtin Pedarsani , A. Salman Avestimehr , Chien-Sheng Yang
arXiv: Distributed, Parallel, and Cluster Computing

1
2019
Analysis of Fixed-Time Control

Ramtin Pedarsani , Ajith Muralidharan , Pravin Varaiya
arXiv: Dynamical Systems

64
2014
Combating Adversarial Attacks Using Sparse Representations.

Ramtin Pedarsani , Upamanyu Madhow , Zhinus Marzi , Soorya Gopalakrishnan
international conference on learning representations

22
2018
Robust and Communication-Efficient Collaborative Learning

Ramtin Pedarsani , Aryan Mokhtari , Amirhossein Reisizadeh , Hamed Hassani
neural information processing systems 32 8388 -8399

34
2019
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads

Ramtin Pedarsani , Dorsa Sadigh , Erdem Biyik , Daniel A. Lazar
arXiv: Optimization and Control

24
2019
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions

Ramtin Pedarsani , Christos Thrampoulidis , Hossein Taheri
arXiv: Machine Learning

29
2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization.

Amirhossein Reisizadeh , Aryan Mokhtari , Hamed Hassani , Ali Jadbabaie
international conference on artificial intelligence and statistics 2021 -2031

420
2019
Sharp Asymptotics and Optimal Performance for Inference in Binary Models.

Ramtin Pedarsani , Christos Thrampoulidis , Hossein Taheri
international conference on artificial intelligence and statistics 3739 -3749

26
2020
Quantized Decentralized Stochastic Learning over Directed Graphs

Ramtin Pedarsani , Aryan Mokhtari , Hamed Hassani , Hossein Taheri
arXiv: Distributed, Parallel, and Cluster Computing

31
2020
Dynamic Pricing and Fleet Management for Electric Autonomous Mobility on Demand Systems.

Ramtin Pedarsani , Mahnoosh Alizadeh , Berkay Turan
arxiv:eess.SY

38
2020
Robust Federated Learning: The Case of Affine Distribution Shifts

Amirhossein Reisizadeh , Farzan Farnia , Ramtin Pedarsani , Ali Jadbabaie
neural information processing systems 33 21554 -21565

87
2020