• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 167 matches

• 2024
• 
  Dmitrij Teterja, José García Rodríguez, Jorge Azorín López, Esther Sebastián-González, Daliborka Nedic, Dalibor Lekovic, Petar Knezevic, Dejan Drajic, Dejan Vukobratovic:
  A Video Mosaicing-Based Sensing Method for Chicken Behavior Recognition on Edge Computing Devices. Sensors 24(11): 3409 (2024)
• 
  Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedic:
  Projected Push-Pull for Distributed Constrained Optimization Over Time-Varying Directed Graphs. ACC 2024: 2082-2089
• 
  Daniil Vankov, Angelia Nedich, Lalitha Sankar:
  Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes. ICML 2024
• 
  Kun Huang, Shi Pu, Angelia Nedic:
  An Accelerated Distributed Stochastic Gradient Method with Momentum. CoRR abs/2402.09714 (2024)
• 
  Sarper Aydin, Orhan Eren Akgün, Stephanie Gil, Angelia Nedic:
  Multi-Agent Resilient Consensus under Intermittent Faulty and Malicious Transmissions (Extended Version). CoRR abs/2403.17907 (2024)
• 
  Sina Arefizadeh, Angelia Nedich, Gautam Dasarathy:
  On Characterizations of Potential and Ordinal Potential Games. CoRR abs/2405.06253 (2024)
• 
  Arif Kerem Dayi, Orhan Eren Akgün, Stephanie Gil, Michal Yemini, Angelia Nedic:
  Fast Distributed Optimization over Directed Graphs under Malicious Attacks using Trust. CoRR abs/2407.06541 (2024)
• 
  Duong Thuy Anh Nguyen, Su Wang, Duong Tung Nguyen, Angelia Nedich, H. Vincent Poor:
  Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks. CoRR abs/2409.17189 (2024)
• 2023
• 
  Stevan Cakic, Tomo Popovic, Srdjan Krco, Daliborka Nedic, Dejan Babic, Ivan Jovovic:
  Developing Edge AI Computer Vision for Smart Poultry Farms Using Deep Learning and HPC. Sensors 23(6): 3002 (2023)
• 
  Sina Arefizadeh, Angelia Nedic:
  Characterization of Potential Games: Application in Aggregative Games. Allerton 2023: 1-6
• 
  Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedich:
  Learning Trust Over Directed Graphs in Multiagent Systems. L4DC 2023: 142-154
• 
  Sina Arefizadeh, Angelia Nedich:
  Characterization of Potential Games: Application in Aggregative Games. CoRR abs/2308.12917 (2023)
• 
  Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedic:
  Projected Push-Pull For Distributed Constrained Optimization Over Time-Varying Directed Graphs (extended version). CoRR abs/2310.06223 (2023)
• 
  Stephanie Gil, Michal Yemini, Arsenia Chorti, Angelia Nedic, H. Vincent Poor, Andrea J. Goldsmith:
  How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems. CoRR abs/2311.07492 (2023)
• 2022
• 
  Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian:
  A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization. Math. Oper. Res. 47(1): 690-719 (2022)
• 
  Michal Yemini, Angelia Nedic, Andrea J. Goldsmith, Stephanie Gil:
  Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems. IEEE Trans. Robotics 38(1): 71-91 (2022)
• 
  Sina Arefizadeh, Angelia Nedic:
  A Distributed Algorithm for Aggregative Games on Directed Communication Graphs. CDC 2022: 6407-6412
• 
  Michal Yemini, Angelia Nedic, Stephanie Gil, Andrea J. Goldsmith:
  Resilience to Malicious Activity in Distributed Optimization for Cyberphysical Systems. CDC 2022: 4185-4192
• 
  Alejandra Gómez Ortega, Janne van Kollenburg, Yvette Shen, Dave Murray-Rust, Dajana Nedic, Juan Carlos Jimenez, Wo Meijer, Pranshu Kumar Kumara Chaudhary, Jacky Bourgeois:
  SIG on Data as Human-Centered Design Material. CHI Extended Abstracts 2022: 160:1-160:4
• 
  Stevan Cakic, Tomo Popovic, Srdjan Krco, Daliborka Nedic, Dejan Babic:
  Developing Object Detection Models for Camera Applications in Smart Poultry Farms. COINS 2022: 1-5
• 
  Michal Yemini, Angelia Nedic, Andrea J. Goldsmith, Stephanie Gil:
  Resilient Distributed Optimization for Multi-Agent Cyberphysical Systems. CoRR abs/2212.02459 (2022)
• 
  Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedic:
  Learning Trust Over Directed Graphs in Multiagent Systems (extended version). CoRR abs/2212.02661 (2022)
• 2021
• 
  Shi Pu, Angelia Nedic:
  Distributed stochastic gradient tracking methods. Math. Program. 187(1): 409-457 (2021)
• 
  César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
  A dual approach for optimal algorithms in distributed optimization over networks. Optim. Methods Softw. 36(1): 171-210 (2021)
• 
  Giuseppe Belgioioso, Angelia Nedic, Sergio Grammatico:
  Distributed Generalized Nash Equilibrium Seeking in Aggregative Games on Time-Varying Networks. IEEE Trans. Autom. Control. 66(5): 2061-2075 (2021)
• 
  Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
  Push-Pull Gradient Methods for Distributed Optimization in Networks. IEEE Trans. Autom. Control. 66(1): 1-16 (2021)
• 
  Tatiana Tatarenko, Wei Shi, Angelia Nedic:
  Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking. IEEE Trans. Autom. Control. 66(11): 5342-5353 (2021)
• 
  Michal Yemini, Angelia Nedic, Andrea Goldsmith, Stephanie Gil:
  Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems. CoRR abs/2103.05464 (2021)
• 2020
• 
  Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione:
  Accelerating incremental gradient optimization with curvature information. Comput. Optim. Appl. 76(2): 347-380 (2020)
• 
  Usman A. Khan, Waheed U. Bajwa, Angelia Nedic, Michael G. Rabbat, Ali H. Sayed:
  Optimization for Data-Driven Learning and Control. Proc. IEEE 108(11): 1863-1868 (2020)

skipping 137 more matches