Songze Li

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 102

Top Venues

CoRR

ISIT

IACR Cryptol. ePrint Arch.

IEEE Trans. Commun.

Publications

Songze Li, Ruoxi Cheng, Xiaojun Jia
Identity Inference from CLIP Models using Only Textual Data. CoRR (2024)
Haoyang Hu, Songze Li, Minquan Cheng, Shuai Ma, Yuanming Shi, Youlong Wu
On Exploiting Network Topology for Hierarchical Coded Multi-Task Learning. IEEE Trans. Commun. 72 (8) (2024)
Chunjiang Che, Songze Li, Xuechao Wang
Manifoldchain: Maximizing Blockchain Throughput via Bandwidth-Clustered Sharding. CoRR (2024)
Sizai Hou, Songze Li, Tayyebeh Jahani-Nezhad, Giuseppe Caire
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning. CoRR (2024)
Jin Xie, Songze Li
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models. CoRR (2024)
Songze Li, Yanbo Dai
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning. CoRR (2024)
Duanyi Yao, Songze Li, Ye Xue, Jin Liu
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. ICLR (2024)
Songze Li, Yanbo Dai
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning. IACR Cryptol. ePrint Arch. 2024 (2024)
Jin Xie, Chenqing Zhu, Songze Li
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory. CoRR (2024)
Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. IEEE Trans. Wirel. Commun. 23 (6) (2024)
Duanyi Yao, Songze Li, Xueluan Gong, Sizai Hou, Gaoning Pan
Leveraging Label Information for Stealthy Data Stealing in Vertical Federated Learning. CoRR (2024)
Songze Li, Yanbo Dai
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning. USENIX Security Symposium (2024)
Songze Li, Chenqing Zhu
Towards Client Driven Federated Learning. CoRR (2024)
Songze Li, Mingzhe Liu, Mengqi Chen
OmniLytics+: A Secure, Efficient, and Affordable Blockchain Data Market for Machine Learning through Off-Chain Processing. CoRR (2024)
Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Jilan Xu, Zun Wang, Yansong Shi, Tianxiang Jiang, Songze Li, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding. CoRR (2024)
Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning. IEEE J. Sel. Areas Commun. 41 (4) (2023)
Songze Li, Duanyi Yao, Jin Liu
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. CoRR (2023)
Yanbo Dai, Songze Li
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning. ICML (2023)
Zhenhao Huang, Songze Li, Kai Liang, Youlong Wu
Secure Gradient Aggregation for Wireless Multi-Server Federated Learning. ISIT (2023)
Haoyang Hu, Songze Li, Minquan Cheng, Youlong Wu
Coded Distributed Computing for Hierarchical Multi-task Learning. ITW (2023)
Xiaoyi Fu, Menghan Shao, Songze Li, Liuqing Yang
Active Few-shot Learning For RouteNet-Fermi. GNNet@CoNEXT (2023)
Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations. CoRR (2023)
Kai Liang, Songze Li, Ming Ding, Youlong Wu
Multi-Server Secure Aggregation with Unreliable Communication Links. GLOBECOM (2023)
Jinbao Zhu, Songze Li, Jie Li
Information-Theoretically Private Matrix Multiplication From MDS-Coded Storage. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Kai Liang, Songze Li, Ming Ding, Youlong Wu
Multi-Server Secure Aggregation with Unreliable Communication Links. CoRR (2023)
Songze Li, Duanyi Yao, Jin Liu
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. IACR Cryptol. ePrint Arch. 2023 (2023)
Jiaxiang Tang, Jinbao Zhu, Songze Li, Lichao Sun
Secure Embedding Aggregation for Federated Representation Learning. ISIT (2023)
Tonghua Su, Fuxiang Yang, Xiang Zhou, Donglin Di, Zhongjie Wang, Songze Li
Scene Style Text Editing. CoRR (2023)
Fuxiang Yang, Tonghua Su, Xiang Zhou, Donglin Di, Zhongjie Wang, Songze Li
Self-Supervised Cross-Language Scene Text Editing. ACM Multimedia (2023)
Yanbo Dai, Songze Li
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning. CoRR (2023)
Haoyang Hu, Youlong Wu, Yuanming Shi, Songze Li, Chunxiao Jiang, Wei Zhang
Communication-Efficient Coded Computing for Distributed Multi-Task Learning. IEEE Trans. Commun. 71 (7) (2023)
Songze Li, Duanyi Yao, Jin Liu
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. ICML (2023)
Jinbao Zhu, Qifa Yan, Xiaohu Tang, Songze Li
Symmetric Private Polynomial Computation From Lagrange Encoding. IEEE Trans. Inf. Theory 68 (4) (2022)
Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. CoRR (2022)
Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. ISIT (2022)
Haoyang Hu, Songze Li, Minquan Cheng, Youlong Wu
Coded Distributed Computing for Hierarchical Multi-task Learning. CoRR (2022)
Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire
SwiftAgg+: Achieving Asymptotically Optimal Communication Load in Secure Aggregation for Federated Learning. CoRR (2022)
Jinbao Zhu, Songze Li
A Systematic Approach towards Efficient Private Matrix Multiplication. CoRR (2022)
Xinran Zhu, Jing Li, Qinhuo Liu, Wentao Yu, Songze Li, Jing Zhao, Yadong Dong, Zhaoxing Zhang, Hu Zhang, Shangrong Lin
Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr
Secure Federated Clustering. CoRR (2022)
Jinbao Zhu, Songze Li
Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff. ISIT (2022)
Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun
Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation. CoRR (2022)
Jinbao Zhu, Songze Li
A Systematic Approach Towards Efficient Private Matrix Multiplication. IEEE J. Sel. Areas Inf. Theory 3 (2) (2022)
Jinbao Zhu, Jie Li, Songze Li
Private Matrix Multiplication From MDS-Coded Storage With Colluding Servers. CoRR (2022)
Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. CoRR (2022)
Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr
Secure Federated Clustering. IACR Cryptol. ePrint Arch. 2022 (2022)
Jinbao Zhu, Songze Li
Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff. CoRR (2022)
Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees. ISIT (2022)
Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. CoRR (2022)
Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees. CoRR (2022)
Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. NeurIPS (2022)
Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun
Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation. IACR Cryptol. ePrint Arch. 2022 (2022)
Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. MLSys (2022)
Jiacheng Liang, Wensi Jiang, Songze Li
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning. IACR Cryptol. ePrint Arch. 2021 (2021)
Ahmed Roushdy Elkordy, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Compressed Coded Distributed Computing. IEEE Trans. Commun. 69 (5) (2021)
Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr
LightSecAgg: Rethinking Secure Aggregation in Federated Learning. CoRR (2021)
Jiacheng Liang, Wensi Jiang, Songze Li
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning. CoRR (2021)
Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Hu Zhang, Jing Li, Qinhuo Liu, Yadong Dong, Songze Li, Zhaoxing Zhang, Xinran Zhu, Liangyun Liu, Jing Zhao
Estimating Leaf Area Index with Dynamic Leaf Optical Properties. Remote. Sens. 13 (23) (2021)
Songze Li, Salman Avestimehr
Coded Computing. Found. Trends Commun. Inf. Theory 17 (1) (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
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR (2020)
Songze Li, David Tse
TaiJi: Longest Chain Availability with BFT Fast Confirmation. IACR Cryptol. ePrint Arch. 2020 (2020)
Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. ISIT (2020)
Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. Financial Cryptography (2020)
Songze Li, David Tse
TaiJi: Longest Chain Availability with BFT Fast Confirmation. CoRR (2020)
Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
Coded State Machine - Scaling State Machine Execution under Byzantine Faults. PODC (2019)
Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
Coded State Machine - Scaling State Machine Execution under Byzantine Faults. CoRR (2019)
Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. CoRR (2019)
Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. IACR Cryptol. ePrint Arch. 2019 (2019)
Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy. AISTATS (2019)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Compressed Coded Distributed Computing. ISIT (2018)
Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi
Near-Optimal Straggler Mitigation for Distributed Gradient Methods. IPDPS Workshops (2018)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Compressed Coded Distributed Computing. CoRR (2018)
Songze Li, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. CoRR (2018)
Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. NeurIPS (2018)
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS (2018)
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR (2018)
Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. CoRR (2018)
Songze Li, Mingchao Yu, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IACR Cryptol. ePrint Arch. 2018 (2018)
Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, Amir Salman Avestimehr
Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding. CoRR (2018)
Songze Li, Mohammad Ali Maddah-Ali, Qian Yu, Amir Salman Avestimehr
A Fundamental Tradeoff Between Computation and Communication in Distributed Computing. IEEE Trans. Inf. Theory 64 (1) (2018)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Coding for Distributed Fog Computing. IEEE Commun. Mag. 55 (4) (2017)
Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Salman Avestimehr
Coded TeraSort. IPDPS Workshops (2017)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Architectures for coded mobile edge computing. FWC (2017)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Coding for Distributed Fog Computing. CoRR (2017)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Communication-Aware Computing for Edge Processing. CoRR (2017)
Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Coded TeraSort. CoRR (2017)
Qian Yu, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
How to optimally allocate resources for coded distributed computing? ICC (2017)
Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
A Scalable Framework for Wireless Distributed Computing. IEEE/ACM Trans. Netw. 25 (5) (2017)
Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi
Near-Optimal Straggler Mitigation for Distributed Gradient Methods. CoRR (2017)
Qian Yu, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
How to Optimally Allocate Resources for Coded Distributed Computing? CoRR (2017)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Communication-aware computing for edge processing. ISIT (2017)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
A Unified Coding Framework for Distributed Computing with Straggling Servers. CoRR (2016)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Coded Distributed Computing: Straggling Servers and Multistage Dataflows. Allerton (2016)
Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Poster Abstract: A Scalable Coded Computing Framework for Edge-Facilitated Wireless Distributed Computing. SEC (2016)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Fundamental tradeoff between computation and communication in distributed computing. ISIT (2016)
Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
A Scalable Framework for Wireless Distributed Computing. CoRR (2016)
Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
A Unified Coding Framework for Distributed Computing with Straggling Servers. GLOBECOM Workshops (2016)
Songze Li, Mohammad Ali Maddah-Ali, Qian Yu, Amir Salman Avestimehr
A Fundamental Tradeoff between Computation and Communication in Distributed Computing. CoRR (2016)
Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Edge-Facilitated Wireless Distributed Computing. GLOBECOM (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Songze Li