| A 200mhz 202.4 gflops@ 10.8 w vgg16 accelerator in xilinx vx690t C Mei, Z Liu, Y Niu, X Ji, W Zhou, D Wang 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 29 | 2017 |
| Reuse kernels or activations? A flexible dataflow for low-latency spectral CNN acceleration Y Niu, R Kannan, A Srivastava, V Prasanna Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020 | 21 | 2020 |
| 3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs Y Niu, RE Ali, S Avestimehr Privacy Enhancing Technologies Symposium | ICLR Workshop on Distributed and …, 2022 | 16* | 2022 |
| Federated Learning of Large Models at the Edge via Principal Sub-Model Training Y Niu, S Prakash, S Kundu, S Lee, S Avestimehr Transaction on Machine Learning Research (TMLR) | NeurIPS Workshop on …, 2023 | 12 | 2023 |
| Federated sparse training: Lottery aware model compression for resource constrained edge S Babakniya, S Kundu, S Prakash, Y Niu, S Avestimehr NeurIPS Workshop on Federated Learning, 2022 | 12 | 2022 |
| SPEC2: Spectral sparse CNN accelerator on FPGAs Y Niu, H Zeng, A Srivastava, K Lakhotia, R Kannan, Y Wang, V Prasanna 2019 IEEE 26th International Conference on High Performance Computing, Data …, 2019 | 12 | 2019 |
| Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter? S Babakniya, S Kundu, S Prakash, Y Niu, S Avestimehr Transaction on Machine Learning Research (TMLR) | NeurIPS Workshop on …, 2023 | 6 | 2023 |
| Sensitivity-oriented layer-wise acceleration and compression for convolutional neural network W Zhou, Y Niu, G Zhang IEEE Access 7, 38264-38272, 2019 | 6 | 2019 |
| mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization Y Niu, Z Fabian, S Lee, M Soltanolkotabi, S Avestimehr Transactions on Machine Learning Research (TMLR) | ICML Workshop on the …, 2023 | 2 | 2023 |
| All Rivers Run to the Sea: Private Learning with Asymmetric Flows Y Niu, RE Ali, S Prakash, S Avestimehr IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024 | 1 | 2024 |
| Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients Y Niu, S Prakash, S Kundu, S Lee, S Avestimehr Transaction on Machine Learning Research (TMLR), 2023 | 1 | 2023 |
| Sensitivity-based acceleration and compression algorithm for convolution neural network Y Niu, Z Liu, C Mei, X Ji, W Zhou, D Wang 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 1 | 2017 |
| A stepped-RAM reading and multiplierless VLSI architecture for intra prediction in HEVC W Zhou, Y Niu, X Lian, X Zhou, J Yang Advances in Multimedia Information Processing-PCM 2016: 17th Pacific-Rim …, 2016 | 1 | 2016 |
| ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys Y Niu, S Prakash, S Avestimehr arXiv preprint arXiv:2403.02352, 2024 | | 2024 |
| Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training S Lee, T Zhang, S Prakash, Y Niu, S Avestimehr IEEE Transactions on Mobile Computing, 2024 | | 2024 |
| Ethos: Rectifying Language Models in Orthogonal Parameter Space L Gao*, Y Niu*, T Tang, S Avestimehr, M Annavaram North American Chapter of the Association for Computational Linguistics (NAACL), 2024 | | 2024 |
| Ethos: Rectifying Language Models in Orthogonal Parameter Space L Gao*, Y Niu*, T Tang, S Avestimehr, M Annavaram AAAI workshop on Responsible Language Model (ReLM), 2024 | | 2024 |
| Edge Private Graph Neural Networks with Singular Value Perturbation T Tang*, Y Niu*, S Avestimehr, M Annavaram Privacy Enhancing Technologies Symposium (PETs), 2024 | | 2024 |
| Performance and Failure Cause Estimation for Machine Learning Systems in the Wild X Liu, F Khan, Y Niu, P Natarajan, R Khaziev, S Avestimehr, P Singhal International Conference on Computer Vision Systems (ICVS), 377-390, 2023 | | 2023 |
| Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge S Babakniya, S Kundu, S Prakash, Y Niu, S Avestimehr arXiv preprint arXiv:2208.13092, 2022 | | 2022 |
Salman AvestimehrDean's Professor and Director of USC-Amazon Center on Trustworthy AI, USCAdresse e-mail validée de usc.edu
