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Murali Annavaram

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Privacy and Integrity Preserving Training Using Trusted Hardware

May 01, 2021
Hanieh Hashemi, Yongqin Wang, Murali Annavaram

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FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Apr 14, 2021
Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr

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Distributed Training of Graph Convolutional Networks using Subgraph Approximation

Dec 09, 2020
Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram

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Check-N-Run: A Checkpointing System for Training Recommendation Models

Oct 17, 2020
Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Murali Annavaram, Krishnakumar Nair, Misha Smelyanskiy

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Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge

Jul 30, 2020
Chaoyang He, Murali Annavaram, Salman Avestimehr

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FedML: A Research Library and Benchmark for Federated Machine Learning

Jul 27, 2020
Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

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FedNAS: Federated Deep Learning via Neural Architecture Search

Apr 18, 2020
Chaoyang He, Murali Annavaram, Salman Avestimehr

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Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments

Dec 07, 2019
Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramaniam, Murali Annavaram

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Train Where the Data is: A Case for Bandwidth Efficient Coded Training

Oct 22, 2019
Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram

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