Nitin H. Vaidya

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 85

Top Venues

Publications

Shuo Liu, Nitin H. Vaidya
Byzantine fault-tolerant distributed set intersection with redundancy. CoRR (2024)
Lewis Tseng, Guanfeng Liang, Nitin H. Vaidya
Iterative approximate Byzantine consensus in arbitrary directed graphs. Distributed Comput. 37 (3) (2024)
Shuo Liu, Nirupam Gupta, Nitin H. Vaidya
Impact of Redundancy on Resilience in Distributed Optimization and Learning. ICDCN (2023)
Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
Byzantine Fault-Tolerance in Federated Local SGD Under $2f$-Redundancy. IEEE Trans. Control. Netw. Syst. 10 (4) (2023)
Shuo Liu, Nirupam Gupta, Nitin H. Vaidya
Impact of Redundancy on Resilience in Distributed Optimization and Learning. CoRR (2022)
Sandeep S. Kulkarni, Duong N. Nguyen, Lewis Tseng, Nitin H. Vaidya
Impact of the Consistency Model on Checkpointing of Distributed Shared Memory. CoRR (2022)
Calvin Newport, Nitin H. Vaidya, Alex Weaver
Preparing for Disaster: Leveraging Precomputation to Efficiently Repair Graph Structures Upon Failures. SPAA (2022)
Nirupam Gupta, Shuo Liu, Nitin H. Vaidya
Byzantine Fault-Tolerant Distributed Machine Learning with Norm-Based Comparative Gradient Elimination. DSN Workshops (2021)
Seth Gilbert, Calvin Newport, Nitin H. Vaidya, Alex Weaver
Contention Resolution with Predictions. CoRR (2021)
Shuo Liu, Nirupam Gupta, Nitin H. Vaidya
Redundancy in cost functions for Byzantine fault-tolerant federated learning. ResilientFL (2021)
Seth Gilbert, Calvin Newport, Nitin H. Vaidya, Alex Weaver
Contention Resolution with Predictions. PODC (2021)
Nirupam Gupta, Shripad Gade, Nikhil Chopra, Nitin H. Vaidya
Preserving Statistical Privacy in Distributed Optimization. IEEE Control. Syst. Lett. 5 (3) (2021)
Shuo Liu, Nirupam Gupta, Nitin H. Vaidya
Utilizing Redundancy in Cost Functions for Resilience in Distributed Optimization and Learning. CoRR (2021)
Shuo Liu, Nirupam Gupta, Nitin H. Vaidya
Approximate Byzantine Fault-Tolerance in Distributed Optimization. PODC (2021)
Shuo Liu, Nirupam Gupta, Nitin H. Vaidya
Asynchronous Distributed Optimization with Redundancy in Cost Functions. CoRR (2021)
Nitin H. Vaidya
Security and Privacy for Distributed Optimization & Distributed Machine Learning. PODC (2021)
Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy. CoRR (2021)
Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
Byzantine Fault-Tolerance in Decentralized Optimization under 2f-Redundancy. ACC (2021)
Nirupam Gupta, Nitin H. Vaidya
Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent. CoRR (2021)
Lili Su, Nitin H. Vaidya
Byzantine-Resilient Multiagent Optimization. IEEE Trans. Autom. Control. 66 (5) (2021)
Muhammad Samir Khan, Nitin H. Vaidya
Testing Equality Under the Local Broadcast Model. SIROCCO (2021)
Shuo Liu, Nirupam Gupta, Nitin H. Vaidya
Approximate Byzantine Fault-Tolerance in Distributed Optimization. CoRR (2021)
Muhammad Samir Khan, Nitin H. Vaidya
Byzantine Consensus in Directed Hypergraphs. CoRR (2021)
Muhammad Samir Khan, Nitin H. Vaidya
Byzantine Consensus with Local Multicast Channels. DISC (2021)
Dimitris Sakavalas, Lewis Tseng, Nitin H. Vaidya
Asynchronous Byzantine Approximate Consensus in Directed Networks. CoRR (2020)
Nirupam Gupta, Shuo Liu, Nitin H. Vaidya
Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE). CoRR (2020)
Zhuolun Xiang, Nitin H. Vaidya
Global Stabilization for Causally Consistent Partial Replication. ICDCN (2020)
Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
Byzantine Fault-Tolerance in Decentralized Optimization under Minimal Redundancy. CoRR (2020)
Nirupam Gupta, Nitin H. Vaidya
Resilience in Collaborative Optimization: Redundant and Independent Cost Functions. CoRR (2020)
Shripad Gade, Ji Liu, Nitin H. Vaidya
A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations. CoRR (2020)
Kartik Nayak, Ling Ren, Elaine Shi, Nitin H. Vaidya, Zhuolun Xiang
Improved Extension Protocols for Byzantine Broadcast and Agreement. DISC (2020)
Kartik Nayak, Ling Ren, Elaine Shi, Nitin H. Vaidya, Zhuolun Xiang
Improved Extension Protocols for Byzantine Broadcast and Agreement. CoRR (2020)
Nirupam Gupta, Nitin H. Vaidya
Fault-Tolerance in Distributed Optimization: The Case of Redundancy. PODC (2020)
Dimitris Sakavalas, Lewis Tseng, Nitin H. Vaidya
Asynchronous Byzantine Approximate Consensus in Directed Networks. PODC (2020)
Nirupam Gupta, Shripad Gade, Nikhil Chopra, Nitin H. Vaidya
Preserving Statistical Privacy in Distributed Optimization. CoRR (2020)
Muhammad Samir Khan, Lewis Tseng, Nitin H. Vaidya
Exact Byzantine Consensus on Arbitrary Directed Graphs Under Local Broadcast Model. OPODIS (2019)
Lili Su, Nitin H. Vaidya
Defending non-Bayesian learning against adversarial attacks. Distributed Comput. 32 (4) (2019)
Nirupam Gupta, Nitin H. Vaidya
Byzantine Fault-Tolerant Parallelized Stochastic Gradient Descent for Linear Regression. Allerton (2019)
Nirupam Gupta, Nitin H. Vaidya
Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning. CoRR (2019)
Zhuolun Xiang, Nitin H. Vaidya
Partially Replicated Causally Consistent Shared Memory: Lower Bounds and An Algorithm. PODC (2019)
Muhammad Samir Khan, Syed Shalan Naqvi, Nitin H. Vaidya
Exact Byzantine Consensus on Undirected Graphs under Local Broadcast Model. PODC (2019)
Nirupam Gupta, Nitin H. Vaidya
Byzantine Fault Tolerant Distributed Linear Regression. CoRR (2019)
Pooja Vyavahare, Lili Su, Nitin H. Vaidya
Distributed Learning over Time-Varying Graphs with Adversarial Agents. FUSION (2019)
Muhammad Samir Khan, Nitin H. Vaidya
Byzantine Consensus under Local Broadcast Model: Tight Sufficient Condition. CoRR (2019)
Muhammad Samir Khan, Lewis Tseng, Nitin H. Vaidya
Exact Byzantine Consensus on Arbitrary Directed Graphs under Local Broadcast Model. CoRR (2019)
Muhammad Samir Khan, Nitin H. Vaidya
Asynchronous Byzantine Consensus on Undirected Graphs under Local Broadcast Model. CoRR (2019)
Muhammad Samir Khan, Syed Shalan Naqvi, Nitin H. Vaidya
Exact Byzantine Consensus on Undirected Graphs under Local Broadcast Model. CoRR (2019)
Pooja Vyavahare, Lili Su, Nitin H. Vaidya
Distributed Learning with Adversarial Agents Under Relaxed Network Condition. CoRR (2019)
Dimitris Sakavalas, Lewis Tseng, Nitin H. Vaidya
Asynchronous Crash-Tolerant Consensus in Directed Graphs: Randomization and Topology Knowledge. CoRR (2018)
Shripad Gade, Nitin H. Vaidya
Privacy-Preserving Distributed Learning via Obfuscated Stochastic Gradients. CDC (2018)
Dimitris Sakavalas, Lewis Tseng, Nitin H. Vaidya
Effects of Topology Knowledge and Relay Depth on Asynchronous Appoximate Consensus. OPODIS (2018)
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)
Dimitris Sakavalas, Lewis Tseng, Nitin H. Vaidya
Brief Announcement: Effects of Topology Knowledge and Relay Depth on Asynchronous Consensus. DISC (2018)
Zhuolun Xiang, Nitin H. Vaidya
Global Stabilization for Causally Consistent Partial Replication. CoRR (2018)
Syed Shalan Naqvi, Muhammad Samir Khan, Nitin H. Vaidya
Exact Byzantine Consensus Under Local-Broadcast Model. CoRR (2018)
Russell L. Jones, Muhammad Samir Khan, Nitin H. Vaidya
Brief Announcement: Optimal Record and Replay under Causal Consistency. PODC (2018)
Shripad Gade, Nitin H. Vaidya
Private Optimization on Networks. ACC (2018)
Russell L. Jones, Muhammad Samir Khan, Nitin H. Vaidya
Optimal Record and Replay under Causal Consistency. CoRR (2018)
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) (2018)
Zhuolun Xiang, Nitin H. Vaidya
Brief Announcement: Partially Replicated Causally Consistent Shared Memory. PODC (2018)
Fan Wu, Tong Meng, Aijing Li, Guihai Chen, Nitin H. Vaidya
Have You Recorded My Voice: Toward Robust Neighbor Discovery in Mobile Wireless Networks. IEEE/ACM Trans. Netw. 26 (3) (2018)
Muntasir Raihan Rahman, Lewis Tseng, Son Nguyen, Indranil Gupta, Nitin H. Vaidya
Characterizing and Adapting the Consistency-Latency Tradeoff in Distributed Key-Value Stores. ACM Trans. Auton. Adapt. Syst. 11 (4) (2017)
Shripad Gade, Nitin H. Vaidya
Private Learning on Networks: Part II. CoRR (2017)
Sandeep S. Kulkarni, Nitin H. Vaidya
Effectiveness of Delaying Timestamp Computation. PODC (2017)
Zhuolun Xiang, Nitin H. Vaidya
Lower Bounds and Algorithm for Partially Replicated Causally Consistent Shared Memory. CoRR (2017)
Lili Su, Nitin H. Vaidya
Reaching approximate Byzantine consensus with multi-hop communication. Inf. Comput. 255 (2017)
Lili Su, Nitin H. Vaidya
Fault-Tolerant Multi-Agent Optimization: Optimal Iterative Distributed Algorithms. PODC (2016)
Zhuolun Xiang, Nitin H. Vaidya
Relaxed Byzantine Vector Consensus. OPODIS (2016)
Zhuolun Xiang, Nitin H. Vaidya
Timestamps for Partial Replication. CoRR (2016)
Lili Su, Nitin H. Vaidya
Asynchronous Non-Bayesian Learning in the Presence of Crash Failures. SSS (2016)
Lili Su, Nitin H. Vaidya
Asynchronous Distributed Hypothesis Testing in the Presence of Crash Failures. CoRR (2016)
Zhuolun Xiang, Nitin H. Vaidya
Brief Announcement: Relaxed Byzantine Vector Consensus. SPAA (2016)
Zhuolun Xiang, Nitin H. Vaidya
Relaxed Byzantine Vector Consensus. CoRR (2016)
Ghazale Hosseinabadi, Nitin H. Vaidya
Concurrent-MAC: Increasing concurrent transmissions in dense wireless LANs. ICNC (2016)
Lili Su, Nitin H. Vaidya
Robust Multi-agent Optimization: Coping with Byzantine Agents with Input Redundancy. SSS (2016)
Christoforos N. Hadjicostis, Nitin H. Vaidya, Alejandro D. Domínguez-García
Robust Distributed Average Consensus via Exchange of Running Sums. IEEE Trans. Autom. Control. 61 (6) (2016)
Shripad Gade, Nitin H. Vaidya
Distributed Optimization of Convex Sum of Non-Convex Functions. CoRR (2016)
Lili Su, Nitin H. Vaidya
Defending Non-Bayesian Learning against Adversarial Attacks. CoRR (2016)
Shripad Gade, Nitin H. Vaidya
Distributed Optimization for Client-Server Architecture with Negative Gradient Weights. CoRR (2016)
Lewis Tseng, Nitin H. Vaidya
A Note on Fault-tolerant Consensus in Directed Networks. SIGACT News 47 (3) (2016)
Nitin H. Vaidya, Sandeep S. Kulkarni
Efficient Timestamps for Capturing Causality. CoRR (2016)
Lili Su, Nitin H. Vaidya
Robust Multi-Agent Optimization: Coping with Packet-Dropping Link Failures. CoRR (2016)
Lili Su, Nitin H. Vaidya
Multi-agent optimization in the presence of Byzantine adversaries: Fundamental limits. ACC (2016)
Lili Su, Nitin H. Vaidya
Non-Bayesian Learning in the Presence of Byzantine Agents. DISC (2016)
Shripad Gade, Nitin H. Vaidya
Private Learning on Networks. CoRR (2016)
Shegufta Bakht Ahsan, Nitin H. Vaidya
Optimized O-ACK: An adaptive wireless MAC protocol for multiple access points. SECON (2015)
Lewis Tseng, Nitin H. Vaidya
Fault-Tolerant Consensus in Directed Graphs. PODC (2015)
Lili Su, Nitin H. Vaidya
Byzantine Multi-Agent Optimization: Part II. CoRR (2015)
Lewis Tseng, Nitin H. Vaidya
Byzantine Broadcast Under a Selective Broadcast Model for Single-hop Wireless Networks. CoRR (2015)
Hammurabi Mendes, Maurice Herlihy, Nitin H. Vaidya, Vijay K. Garg
Multidimensional agreement in Byzantine systems. Distributed Comput. 28 (6) (2015)
Shehla S. Rana, Nitin H. Vaidya
iPath: Intelligent and optimal path selection for Byzantine fault tolerant communication. INFOCOM (2015)
Lewis Tseng, Alec Benzer, Nitin H. Vaidya
Application-Aware Consistency: An Application to Social Network. CoRR (2015)
Syeda Persia Aziz, Nitin H. Vaidya
Improving reliability and performance of dense-AP network using DAPnet. SECON (2015)
Shegufta Bakht Ahsan, Nitin H. Vaidya
O-ACK: An adaptive wireless MAC protocol exploiting opportunistic token-passing and ack piggybacking. LCN (2015)
Lili Su, Nitin H. Vaidya
Fault-Tolerant Multi-Agent Optimization: Part III. CoRR (2015)
Zhenqi Huang, Sayan Mitra, Nitin H. Vaidya
Differentially Private Distributed Optimization. ICDCN (2015)
Lewis Tseng, Nitin H. Vaidya, Vartika Bhandari
Broadcast using certified propagation algorithm in presence of Byzantine faults. Inf. Process. Lett. 115 (4) (2015)
Muntasir Raihan Rahman, Lewis Tseng, Son Nguyen, Indranil Gupta, Nitin H. Vaidya
Characterizing and Adapting the Consistency-Latency Tradeoff in Distributed Key-value Stores. CoRR (2015)
Tong Meng, Fan Wu, Aijing Li, Guihai Chen, Nitin H. Vaidya
On robust neighbor discovery in mobile wireless networks. CoNEXT (2015)
Lili Su, Nitin H. Vaidya
Fault-Tolerant Distributed Optimization (Part IV): Constrained Optimization with Arbitrary Directed Networks. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nitin H. Vaidya