Annavaram, Murali

5 publications

NeurIPSW 2022 Private Data Leakage via Exploiting Access Patterns of Sparse Features in Deep Learning-Based Recommendation Systems Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee

AAAI 2022 SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

NeurIPSW 2021 Characterizing and Improving MPC-Based Private Inference for Transformer-Based Models Yongqin Wang, Edward Suh, Wenjie Xiong, Brian Knott, Benjamin Lefaudeux, Murali Annavaram, Hsien-Hsin Lee

NeurIPS 2020 Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge Chaoyang He, Murali Annavaram, Salman Avestimehr

NeurIPS 2018 GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander Schwing, Murali Annavaram, Salman Avestimehr