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ORCIDSuhas N. Diggavi
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- affiliation: University of California, Los Angeles, USA
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2020 – today
- 2022
[i97]Sundara Rajan Srinivasavaradhan, Pavlos Nikolopoulos, Christina Fragouli, Suhas N. Diggavi:
Improving Group Testing via Gradient Descent. CoRR abs/2201.12325 (2022)- 2021
- [j89]Dhaivat Joshi, Shunfu Mao, Sreeram Kannan, Suhas N. Diggavi:
QAlign: aligning nanopore reads accurately using current-level modeling. Bioinform. 37(5): 625-633 (2021) - [j88]Yanwen Mao, Suhas N. Diggavi, Christina Fragouli, Paulo Tabuada:
Secure State-Reconstruction Over Networks Subject to Attacks. IEEE Control. Syst. Lett. 5(1): 157-162 (2021) - [j87]Antonious M. Girgis
, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh:
Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs. IEEE J. Sel. Areas Inf. Theory 2(1): 464-478 (2021) - [j86]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization. IEEE J. Sel. Areas Inf. Theory 2(3): 954-969 (2021) - [j85]Osama A. Hanna, Yahya H. Ezzeldin, Christina Fragouli, Suhas N. Diggavi:
Quantization of Distributed Data for Learning. IEEE J. Sel. Areas Inf. Theory 2(3): 987-1001 (2021) - [j84]Gaurav Kumar Agarwal, Mohammed Karmoose, Suhas N. Diggavi, Christina Fragouli, Paulo Tabuada:
Distortion-Based Lightweight Security for Cyber-Physical Systems. IEEE Trans. Autom. Control. 66(4): 1588-1601 (2021) - [j83]Deepesh Data, Linqi Song, Suhas N. Diggavi:
Data Encoding for Byzantine-Resilient Distributed Optimization. IEEE Trans. Inf. Theory 67(2): 1117-1140 (2021) - [j82]Sundara Rajan Srinivasavaradhan, Michelle Du, Suhas N. Diggavi, Christina Fragouli:
Algorithms for Reconstruction Over Single and Multiple Deletion Channels. IEEE Trans. Inf. Theory 67(6): 3389-3410 (2021) - [c162]Pavlos Nikolopoulos, Sundara Rajan Srinivasavaradhan, Tao Guo, Christina Fragouli, Suhas N. Diggavi:
Group testing for connected communities. AISTATS 2021: 2341-2349 - [c161]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh:
Shuffled Model of Differential Privacy in Federated Learning. AISTATS 2021: 2521-2529 - [c160]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Ananda Theertha Suresh, Peter Kairouz:
On the Rényi Differential Privacy of the Shuffle Model. CCS 2021: 2321-2341 - [c159]Pavlos Nikolopoulos, Sundara Rajan Srinivasavaradhan, Tao Guo, Christina Fragouli, Suhas N. Diggavi:
Group testing for overlapping communities. ICC 2021: 1-7 - [c158]Deepesh Data, Suhas N. Diggavi:
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data. ICML 2021: 2478-2488 - [c157]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
Differentially Private Federated Learning with Shuffling and Client Self-Sampling. ISIT 2021: 338-343 - [c156]Sundara Rajan Srinivasavaradhan, Pavlos Nikolopoulos, Christina Fragouli, Suhas N. Diggavi:
An entropy reduction approach to continual testing. ISIT 2021: 611-616 - [c155]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization. ISIT 2021: 1212-1217 - [c154]Deepesh Data, Suhas N. Diggavi:
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data. ISIT 2021: 2310-2315 - [c153]Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning. NeurIPS 2021: 3622-3634 - [c152]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning. NeurIPS 2021: 29181-29192 - [i96]Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeL: Quantized Personalization with Applications to Federated Learning. CoRR abs/2102.11786 (2021) - [i95]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Ananda Theertha Suresh, Peter Kairouz:
On the Renyi Differential Privacy of the Shuffle Model. CoRR abs/2105.05180 (2021) - [i94]Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (2021) - [i93]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning. CoRR abs/2107.08763 (2021) - [i92]Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning. CoRR abs/2107.13892 (2021) - [i91]Navjot Singh, Xuanyu Cao, Suhas N. Diggavi, Tamer Basar:
Decentralized Multi-Task Stochastic Optimization With Compressed Communications. CoRR abs/2112.12373 (2021) - 2020
- [j81]Mehrdad Showkatbakhsh, Yasser Shoukry, Suhas N. Diggavi, Paulo Tabuada:
Securing state reconstruction under sensor and actuator attacks: Theory and design. Autom. 116: 108920 (2020) - [j80]Debraj Basu, Deepesh Data, Can Karakus, Suhas N. Diggavi:
Qsparse-Local-SGD: Distributed SGD With Quantization, Sparsification, and Local Computations. IEEE J. Sel. Areas Inf. Theory 1(1): 217-226 (2020) - [j79]Osama A. Hanna, Yahya H. Ezzeldin, Tara Sadjadpour, Christina Fragouli, Suhas N. Diggavi:
On Distributed Quantization for Classification. IEEE J. Sel. Areas Inf. Theory 1(1): 237-249 (2020) - [j78]Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas N. Diggavi:
Successive Refinement of Privacy. IEEE J. Sel. Areas Inf. Theory 1(3): 745-759 (2020) - [j77]Wei-Che Wang, Yair Yona, Yizhang Wu, Suhas N. Diggavi, Puneet Gupta:
SLATE: A Secure Lightweight Entity Authentication Hardware Primitive. IEEE Trans. Inf. Forensics Secur. 15: 276-285 (2020) - [j76]Joyson Sebastian, Suhas N. Diggavi:
Generalized Degrees Freedom of Noncoherent MIMO Channels With Asymmetric Link Strengths. IEEE Trans. Inf. Theory 66(7): 4431-4448 (2020) - [j75]Joyson Sebastian, Suhas N. Diggavi:
Generalized Degrees of Freedom of Noncoherent Diamond Networks. IEEE Trans. Inf. Theory 66(8): 5228-5260 (2020) - [c151]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Optimization. CDC 2020: 3449-3456 - [c150]Sundara Rajan Srinivasavaradhan, Suhas N. Diggavi, Christina Fragouli:
Equivalence of ML decoding to a continuous optimization problem. ISIT 2020: 343-348 - [c149]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
Hiding Identities: Estimation Under Local Differential Privacy. ISIT 2020: 914-919 - [c148]Kenneth Chang, Nathaniel Raymondi, Ashutosh Sabharwal, Suhas N. Diggavi:
"Wireless Paint": Code Design for 3D Orientation Estimation with Backscatter Arrays. ISIT 2020: 1224-1229 - [c147]Deepesh Data, Suhas N. Diggavi:
On Byzantine-Resilient High-Dimensional Stochastic Gradient Descent. ISIT 2020: 2628-2633 - [i90]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization. CoRR abs/2005.07041 (2020) - [i89]Deepesh Data, Suhas N. Diggavi:
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data. CoRR abs/2005.07866 (2020) - [i88]Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas N. Diggavi:
Successive Refinement of Privacy. CoRR abs/2005.11651 (2020) - [i87]Sundara Rajan Srinivasavaradhan, Michelle Du, Suhas N. Diggavi, Christina Fragouli:
Algorithms for reconstruction over single and multiple deletion channels. CoRR abs/2005.14388 (2020) - [i86]Jad Hachem, Nikhil Karamchandani, Suhas N. Diggavi, Sharayu Moharir:
Coded Caching for Heterogeneous Wireless Networks. CoRR abs/2006.01025 (2020) - [i85]Deepesh Data, Suhas N. Diggavi:
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data. CoRR abs/2006.13041 (2020) - [i84]Gaurav Kumar Agarwal, Mohammed Karmoose, Suhas N. Diggavi, Christina Fragouli, Paulo Tabuada:
Distortion based Light-weight Security for Cyber-Physical Systems. CoRR abs/2006.15998 (2020) - [i83]Pavlos Nikolopoulos, Tao Guo, Christina Fragouli, Suhas N. Diggavi:
Community aware group testing. CoRR abs/2007.08111 (2020) - [i82]Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh:
Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs. CoRR abs/2008.07180 (2020) - [i81]Pavlos Nikolopoulos, Sundara Rajan Srinivasavaradhan, Tao Guo, Christina Fragouli, Suhas N. Diggavi:
Group testing for overlapping communities. CoRR abs/2012.02804 (2020) - [i80]Osama A. Hanna, Yahya H. Ezzeldin, Christina Fragouli, Suhas N. Diggavi:
Quantizing data for distributed learning. CoRR abs/2012.07913 (2020)
2010 – 2019
- 2019
- [j74]Mohammed Karmoose, Christina Fragouli, Suhas N. Diggavi, Rafael Misoczki, Lily L. Yang, Zhenliang Zhang:
Using mm-Waves for Secret Key Establishment. IEEE Commun. Lett. 23(6): 1077-1080 (2019) - [j73]Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin:
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning. J. Mach. Learn. Res. 20: 72:1-72:47 (2019) - [c146]Abhin Shah, Nikhil Karamchandani, Suhas N. Diggavi:
Coded Caching: Global vs Local Content Popularity. CWIT 2019: 1-6 - [c145]Sundara Rajan Srinivasavaradhan, Michelle Du, Suhas N. Diggavi, Christina Fragouli:
Symbolwise MAP for Multiple Deletion Channels. ISIT 2019: 181-185 - [c144]Yahya H. Ezzeldin, Christina Fragouli, Suhas N. Diggavi:
Quantizing Signals for Linear Classification. ISIT 2019: 912-916 - [c143]Deepesh Data, Linqi Song, Suhas N. Diggavi:
Data Encoding Methods for Byzantine-Resilient Distributed Optimization. ISIT 2019: 2719-2723 - [c142]Deepesh Data, Suhas N. Diggavi:
Byzantine-Tolerant Distributed Coordinate Descent. ISIT 2019: 2724-2728 - [c141]Debraj Basu, Deepesh Data, Can Karakus, Suhas N. Diggavi:
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations. NeurIPS 2019: 14668-14679 - [i79]Mehrdad Showkatbakhsh, Can Karakus, Suhas N. Diggavi:
Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise. CoRR abs/1902.04688 (2019) - [i78]Mehrdad Showkatbakhsh, Can Karakus, Suhas N. Diggavi:
Differentially Private Consensus-Based Distributed Optimization. CoRR abs/1903.07792 (2019) - [i77]Mehrdad Showkatbakhsh, Yasser Shoukry, Suhas N. Diggavi, Paulo Tabuada:
Securing State Estimation Under Sensor and Actuator Attacks: Theory and Design. CoRR abs/1904.01869 (2019) - [i76]Debraj Basu, Deepesh Data, Can Karakus, Suhas N. Diggavi:
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations. CoRR abs/1906.02367 (2019) - [i75]Deepesh Data, Linqi Song, Suhas N. Diggavi:
Data Encoding for Byzantine-Resilient Distributed Optimization. CoRR abs/1907.02664 (2019) - [i74]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization. CoRR abs/1910.14280 (2019) - [i73]Osama A. Hanna, Yahya H. Ezzeldin, Tara Sadjadpour, Christina Fragouli, Suhas N. Diggavi:
On Distributed Quantization for Classification. CoRR abs/1911.00216 (2019) - 2018
- [j72]Tarek F. Abdelzaher, Nora Ayanian, Tamer Basar, Suhas N. Diggavi, Jana Diesner, Deepak Ganesan, Ramesh Govindan, Susmit Jha, Tancrède Lepoint, Benjamin M. Marlin, Klara Nahrstedt, David M. Nicol, Raj Rajkumar, Stephen Russell, Sanjit A. Seshia, Fei Sha, Prashant J. Shenoy, Mani B. Srivastava, Gaurav S. Sukhatme, Ananthram Swami, Paulo Tabuada, Don Towsley, Nitin H. Vaidya, Venugopal V. Veeravalli:
Toward an Internet of Battlefield Things: A Resilience Perspective. Computer 51(11): 24-36 (2018) - [j71]Jad Hachem, Urs Niesen, Suhas N. Diggavi:
Energy-Efficiency Gains of Caching for Interference Channels. IEEE Commun. Lett. 22(7): 1434-1437 (2018) - [j70]Jad Hachem, Nikhil Karamchandani, Sharayu Moharir, Suhas N. Diggavi:
Caching With Partial Adaptive Matching. IEEE J. Sel. Areas Commun. 36(8): 1831-1842 (2018) - [j69]Joyson Sebastian, Can Karakus, Suhas N. Diggavi:
Approximate Capacity of Fast Fading Interference Channels With no Instantaneous CSIT. IEEE Trans. Commun. 66(12): 6015-6027 (2018) - [j68]Wei-Che Wang, Yair Yona, Suhas N. Diggavi, Puneet Gupta:
Design and Analysis of Stability-Guaranteed PUFs. IEEE Trans. Inf. Forensics Secur. 13(4): 978-992 (2018) - [j67]Wei Mao, Suhas N. Diggavi, Sreeram Kannan:
Models and Information-Theoretic Bounds for Nanopore Sequencing. IEEE Trans. Inf. Theory 64(4): 3216-3236 (2018) - [j66]Jad Hachem, Urs Niesen, Suhas N. Diggavi:
Degrees of Freedom of Cache-Aided Wireless Interference Networks. IEEE Trans. Inf. Theory 64(7): 5359-5380 (2018) - [c140]Deepesh Data, Linqi Song, Suhas N. Diggavi:
Data Encoding for Byzantine-Resilient Distributed Gradient Descent. Allerton 2018: 863-870 - [c139]Gaurav Kumar Agarwal, Mohammed Karmoose, Suhas N. Diggavi, Christina Fragouli, Paulo Tabuada:
Distorting an Adversary's View in Cyber-Physical Systems. CDC 2018: 1476-1481 - [c138]Alimzhan Sultangazin, Suhas N. Diggavi, Paulo Tabuada:
Protecting the Privacy of Networked Multi-Agent Systems Controlled over the Cloud. ICCCN 2018: 1-7 - [c137]Yasser Shoukry, Shaunak Mishra, Zutian Luo, Suhas N. Diggavi:
Sybil attack resilient traffic networks: a physics-based trust propagation approach. ICCPS 2018: 43-54 - [c136]Tarek F. Abdelzaher, Nora Ayanian, Tamer Basar, Suhas N. Diggavi, Jana Diesner, Deepak Ganesan, Ramesh Govindan, Susmit Jha, Tancrède Lepoint, Benjamin M. Marlin, Klara Nahrstedt, David M. Nicol, Raj Rajkumar, Stephen Russell, Sanjit A. Seshia, Fei Sha, Prashant J. Shenoy, Mani B. Srivastava, Gaurav S. Sukhatme, Ananthram Swami, Paulo Tabuada, Don Towsley, Nitin H. Vaidya, Venugopal V. Veeravalli:
Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT. ICDCS 2018: 1129-1138 - [c135]Mehrdad Showkatbakhsh, Can Karakus, Suhas N. Diggavi:
Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise. ISIT 2018: 186-190 - [c134]Sundara Rajan Srinivasavaradhan, Michelle Du, Suhas N. Diggavi, Christina Fragouli:
On Maximum Likelihood Reconstruction over Multiple Deletion Channels. ISIT 2018: 436-440 - [i72]Joyson Sebastian, Suhas N. Diggavi:
On Capacity of Non-Coherent Diamond Networks. CoRR abs/1802.02667 (2018) - [i71]Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin:
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning. CoRR abs/1803.05397 (2018) - [i70]Mohammed Karmoose, Christina Fragouli, Suhas N. Diggavi, Rafael Misoczki, Lily L. Yang, Zhenliang Zhang:
Leveraging mm-Wave Communication for Security. CoRR abs/1803.08188 (2018) - [i69]Jad Hachem, Urs Niesen, Suhas N. Diggavi:
Energy-Efficiency Gains of Caching for Interference Channels. CoRR abs/1808.00653 (2018) - [i68]Wei-Che Wang, Yair Yona, Yizhang Wu, Suhas N. Diggavi, Puneet Gupta:
Implementation and Analysis of Stable PUFs Using Gate Oxide Breakdown. CoRR abs/1808.01516 (2018) - [i67]Gaurav Kumar Agarwal, Mohammed Karmoose, Suhas N. Diggavi, Christina Fragouli, Paulo Tabuada:
Distorting an Adversary's View in Cyber-Physical Systems. CoRR abs/1809.04580 (2018) - [i66]Joyson Sebastian, Suhas N. Diggavi:
On the Generalized Degrees of Freedom of Noncoherent Interference Channel. CoRR abs/1812.03579 (2018) - 2017
- [j65]Shaunak Mishra, Yasser Shoukry, Nikhil Karamchandani, Suhas N. Diggavi, Paulo Tabuada:
Secure State Estimation Against Sensor Attacks in the Presence of Noise. IEEE Trans. Control. Netw. Syst. 4(1): 49-59 (2017) - [j64]Mahdi Jafari Siavoshani, Shaunak Mishra, Christina Fragouli, Suhas N. Diggavi:
Multi-Party Secret Key Agreement Over State-Dependent Wireless Broadcast Channels. IEEE Trans. Inf. Forensics Secur. 12(2): 323-337 (2017) - [j63]Manoj Mishra, Bikash Kumar Dey, Vinod M. Prabhakaran, Suhas N. Diggavi:
Wiretapped Oblivious Transfer. IEEE Trans. Inf. Theory 63(4): 2560-2595 (2017) - [j62]Jad Hachem, Nikhil Karamchandani, Suhas N. Diggavi:
Coded Caching for Multi-level Popularity and Access. IEEE Trans. Inf. Theory 63(5): 3108-3141 (2017) - [j61]Chao Tian, Jun Chen, Suhas N. Diggavi, Shlomo Shamai Shitz:
Matched Multiuser Gaussian Source Channel Communications via Uncoded Schemes. IEEE Trans. Inf. Theory 63(7): 4155-4171 (2017) - [j60]Shaunak Mishra, I-Hsiang Wang, Suhas N. Diggavi:
Harnessing Bursty Interference in Multicarrier Systems With Output Feedback. IEEE Trans. Inf. Theory 63(7): 4430-4452 (2017) - [j59]Can Karakus, Suhas N. Diggavi:
Enhancing Multiuser MIMO Through Opportunistic D2D Cooperation. IEEE Trans. Wirel. Commun. 16(9): 5616-5629 (2017) - [c133]Wei-Che Wang, Yair Yona, Yizhang Wu, Szu-Yao Hung, Suhas N. Diggavi, Puneet Gupta:
Implementation of stable PUFs using gate oxide breakdown. AsianHOST 2017: 13-18 - [c132]Mehrdad Showkatbakhsh, Yasser Shoukry, Robert H. Chen, Suhas N. Diggavi, Paulo Tabuada:
An SMT-based approach to secure state estimation under sensor and actuator attacks. CDC 2017: 157-162 - [c131]Joyson Sebastian, Ayan Sengupta, Suhas N. Diggavi:
On capacity of noncoherent MIMO with asymmetric link strengths. ISIT 2017: 541-545 - [c130]Chi-Yo Tsai, Gaurav Kumar Agarwal, Christina Fragouli, Suhas N. Diggavi:
A distortion based approach for protecting inferences. ISIT 2017: 1913-1917 - [c129]Yair Yona, Suhas N. Diggavi:
The effect of bias on the guesswork of hash functions. ISIT 2017: 2248-2252 - [c128]Jad Hachem, Nikhil Karamchandani, Sharayu Moharir, Suhas N. Diggavi:
Coded caching with partial adaptive matching. ISIT 2017: 2423-2427 - [c127]Wei Mao, Suhas N. Diggavi, Sreeram Kannan:
Models and information-theoretic bounds for nanopore sequencing. ISIT 2017: 2458-2462 - [c126]Can Karakus, Yifan Sun, Suhas N. Diggavi:
Encoded distributed optimization. ISIT 2017: 2890-2894 - [c125]Jad Hachem, Nikhil Karamchandani, Sharayu Moharir, Suhas N. Diggavi:
Caching with partial matching under Zipf demands. ITW 2017: 61-65 - [c124]Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin:
Straggler Mitigation in Distributed Optimization Through Data Encoding. NIPS 2017: 5434-5442 - [i65]Wei-Che Wang, Yair Yona, Suhas N. Diggavi, Puneet Gupta:
Design and Analysis of Stability-Guaranteed PUFs. CoRR abs/1701.05637 (2017) - [i64]Chi-Yo Tsai, Gaurav Kumar Agarwal, Christina Fragouli, Suhas N. Diggavi:
A Distortion Based Approach for Protecting Inferences. CoRR abs/1703.00482 (2017) - [i63]Jad Hachem, Nikhil Karamchandani, Sharayu Moharir, Suhas N. Diggavi:
Coded Caching with Partial Adaptive Matching. CoRR abs/1705.03852 (2017) - [i62]Joyson Sebastian, Ayan Sengupta, Suhas N. Diggavi:
On Capacity of Noncoherent MIMO with Asymmetric Link Strengths. CoRR abs/1705.07355 (2017) - [i61]Wei Mao, Suhas N. Diggavi, Sreeram Kannan:
Models and information-theoretic bounds for nanopore sequencing. CoRR abs/1705.11154 (2017) - [i60]Joyson Sebastian, Can Karakus, Suhas N. Diggavi:
Approximate capacity of Fading Gaussian Interference Channels with Point-to-Point codes. CoRR abs/1706.03659 (2017) - [i59]Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin:
Straggler Mitigation in Distributed Optimization Through Data Encoding. CoRR abs/1711.04969 (2017) - 2016
- [j58]László Czap, Vinod M. Prabhakaran, Christina Fragouli, Suhas N. Diggavi:
An LP Characterization of the Secret-message Capacity of Three Erasure Networks With Feedback. IEEE Trans. Inf. Theory 62(5): 2430-2480 (2016) - [j57]Nikhil Karamchandani, Urs Niesen, Mohammad Ali Maddah-Ali, Suhas N. Diggavi:
Hierarchical Coded Caching. IEEE Trans. Inf. Theory 62(6): 3212-3229 (2016) - [j56]Shirin Saeedi Bidokhti, Vinod M. Prabhakaran, Suhas N. Diggavi:
Capacity Results for Multicasting Nested Message Sets Over Combination Networks. IEEE Trans. Inf. Theory 62(9): 4968-4992 (2016) - [c123]Mehrdad Showkatbakhsh, Paulo Tabuada, Suhas N. Diggavi:
Secure system identification. Allerton 2016: 1137-1141 - [c122]Mehrdad Showkatbakhsh, Paulo Tabuada, Suhas N. Diggavi:
System identification in the presence of adversarial outputs. CDC 2016: 7177-7182 - [c121]Wei-Che Wang, Yair Yona, Suhas N. Diggavi, Puneet Gupta:
LEDPUF: Stability-guaranteed physical unclonable functions through locally enhanced defectivity. HOST 2016: 25-30 - [c120]Jad Hachem, Urs Niesen, Suhas N. Diggavi:
A layered caching architecture for the interference channel. ISIT 2016: 415-419 - [c119]Joyson Sebastian, Can Karakus, Suhas N. Diggavi:
Approximately achieving the feedback interference channel capacity with point-to-point codes. ISIT 2016: 715-719 - [c118]Nikhil Karamchandani, Suhas N. Diggavi, Giuseppe Caire, Shlomo Shamai:
Rate and delay for coded caching with carrier aggregation. ISIT 2016: 2724-2728 - [i58]Mahdi Jafari Siavoshani, Shaunak Mishra, Christina Fragouli, Suhas N. Diggavi:
Group secret key agreement over state-dependent wireless broadcast channels. CoRR abs/1604.02380 (2016) - [i57]