Artykuły udostępnione publicznie: - Sanjeev KulkarniWięcej informacji
Niedostępne w żadnym miejscu: 3
Space-alternating attribute-distributed sparse learning
D Shutin, H Zheng, BH Fleury, SR Kulkarni, HV Poor
2010 2nd International Workshop on Cognitive Information Processing, 209-214, 2010
Upoważnienia: Austrian Science Fund
Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1sparsity constraints
D Shutin, SR Kulkarni, HV Poor
2011 4th IEEE International Workshop on Computational Advances in Multi …, 2011
Upoważnienia: Austrian Science Fund
Energy efficiency of wireless cooperation
A Jain, SR Kulkarni, S Verdú
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
Upoważnienia: US National Science Foundation
Dostępne w jakimś miejscu: 21
Convergence of update aware device scheduling for federated learning at the wireless edge
MM Amiri, D Gündüz, SR Kulkarni, HV Poor
IEEE Transactions on Wireless Communications 20 (6), 3643-3658, 2021
Upoważnienia: US National Science Foundation, UK Engineering and Physical Sciences …
Enabling efficient cyber threat hunting with cyber threat intelligence
P Gao, F Shao, X Liu, X Xiao, Z Qin, F Xu, P Mittal, SR Kulkarni, D Song
2021 IEEE 37th International Conference on Data Engineering (ICDE), 193-204, 2021
Upoważnienia: US National Science Foundation, US Department of Defense, National Natural …
{SAQL}: A stream-based query system for {Real-Time} abnormal system behavior detection
P Gao, X Xiao, D Li, Z Li, K Jee, Z Wu, CH Kim, SR Kulkarni, P Mittal
27th USENIX Security Symposium (USENIX Security 18), 639-656, 2018
Upoważnienia: US National Science Foundation
Blind federated edge learning
MM Amiri, TM Duman, D Gündüz, SR Kulkarni, HV Poor
IEEE Transactions on Wireless Communications 20 (8), 5129-5143, 2021
Upoważnienia: US National Science Foundation, UK Engineering and Physical Sciences …
Convergence of federated learning over a noisy downlink
MM Amiri, D Gündüz, SR Kulkarni, HV Poor
IEEE Transactions on Wireless Communications 21 (3), 1422-1437, 2021
Upoważnienia: US National Science Foundation, UK Engineering and Physical Sciences …
{AIQL}: Enabling efficient attack investigation from system monitoring data
P Gao, X Xiao, Z Li, F Xu, SR Kulkarni, P Mittal
2018 USENIX Annual Technical Conference (USENIX ATC 18), 113-126, 2018
Upoważnienia: US National Science Foundation
Fast variational sparse Bayesian learning with automatic relevance determination for superimposed signals
D Shutin, T Buchgraber, SR Kulkarni, HV Poor
IEEE Transactions on Signal Processing 59 (12), 6257-6261, 2011
Upoważnienia: Austrian Science Fund
Update aware device scheduling for federated learning at the wireless edge
MM Amiri, D Gündüz, SR Kulkarni, HV Poor
2020 IEEE International Symposium on Information Theory (ISIT), 2598-2603, 2020
Upoważnienia: US National Science Foundation, European Commission
Sybilfuse: Combining local attributes with global structure to perform robust sybil detection
P Gao, B Wang, NZ Gong, SR Kulkarni, K Thomas, P Mittal
2018 IEEE conference on communications and network security (CNS), 1-9, 2018
Upoważnienia: US National Science Foundation, US Department of Defense
Energy-distortion tradeoffs in Gaussian joint source-channel coding problems
A Jain, D Gunduz, SR Kulkarni, HV Poor, S Verdú
IEEE Transactions on Information Theory 58 (5), 3153-3168, 2012
Upoważnienia: Government of Spain
Incremental reformulated automatic relevance determination
D Shutin, SR Kulkarni, HV Poor
IEEE transactions on signal processing 60 (9), 4977-4981, 2012
Upoważnienia: Austrian Science Fund
A system for efficiently hunting for cyber threats in computer systems using threat intelligence
P Gao, F Shao, X Liu, X Xiao, H Liu, Z Qin, F Xu, P Mittal, SR Kulkarni, ...
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2705-2708, 2021
Upoważnienia: US Department of Defense
Federated learning with downlink device selection
MM Amiri, SR Kulkarni, HV Poor
2021 IEEE 22nd international workshop on signal processing advances in …, 2021
Upoważnienia: US National Science Foundation
Regularized variational bayesian learning of echo state networks with delay&sum readout
D Shutin, C Zechner, SR Kulkarni, HV Poor
Neural Computation 24 (4), 967-995, 2012
Upoważnienia: Austrian Science Fund
Fast adaptive variational sparse Bayesian learning with automatic relevance determination
D Shutin, T Buchgraber, SR Kulkarni, HV Poor
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
Upoważnienia: Austrian Science Fund
Querying streaming system monitoring data for enterprise system anomaly detection
P Gao, X Xiao, D Li, K Jee, H Chen, SR Kulkarni, P Mittal
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1774-1777, 2020
Upoważnienia: US Department of Defense
Nonbacktracking bounds on the influence in independent cascade models
E Abbe, S Kulkarni, EJ Lee
Advances in Neural Information Processing Systems 30, 2017
Upoważnienia: US National Science Foundation, US Department of Defense
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