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Diggavi, Suhas

  1. A Field Guide to Federated Optimization
    2021/07/14 by Jianyu Wang, Wang, Jianyu, Zachary Charles +103 · 16 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  2. FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
    2023/10/30 by Shengzhong Liu, Tomoyoshi Kimura, Liu, Shengzhong +13 · 9 citations
    Computer Science · Engineering · #Music and Audio Processing #Advanced Chemical Sensor Technologies #Time Series Analysis and Forecasting
  3. Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data
    2020/05/16 by Data, Deepesh, Diggavi, Suhas · 3 citations
    #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #and Cluster Computing (cs.DC)
  4. Models and information-theoretic bounds for nanopore sequencing
    2017/05/31 by Mao, Wei, Diggavi, Suhas, Kannan, Sreeram · 2 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  5. Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
    2019/06/06 by Basu, Debraj, Data, Deepesh, Karakus, Can +1 · 2 citations
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  6. QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
    2021/07/29 by Ozkara, Kaan, Singh, Navjot, Data, Deepesh +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Decentralized Multi-Task Stochastic Optimization With Compressed Communications
    2021/12/23 by Navjot Singh, Singh, Navjot, Xuanyu Cao +5 · 2 citations
    Computer Science · #Age of Information Optimization #Distributed #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  8. Coded Caching for Multi-level Popularity and Access
    2014/04/25 by Hachem, Jad, Karamchandani, Nikhil, Diggavi, Suhas · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  9. Capacity Results for Multicasting Nested Message Sets over Combination Networks
    2014/11/10 by Bidokhti, Shirin Saeedi, Prabhakaran, Vinod, Diggavi, Suhas · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  10. Wiretapped Oblivious Transfer
    2016/04/19 by Mishra, Manoj, Dey, Bikash Kumar, Prabhakaran, Vinod M. +1 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information Theory (cs.IT)
  11. Approximate Capacity of Fast Fading Interference Channels with No Instantaneous CSIT
    2017/06/12 by Sebastian, Joyson, Karakus, Can, Diggavi, Suhas · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  12. Differentially Private Consensus-Based Distributed Optimization
    2019/03/19 by Showkatbakhsh, Mehrdad, Karakus, Can, Diggavi, Suhas · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Social and Information Networks (cs.SI)
  13. Byzantine-Resilient High-Dimensional Federated Learning
    2020/06/22 by Deepesh Data, Data, Deepesh, Suhas Diggavi +1 · 1 citation
    Computer Science · Mathematics · #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Random Matrices and Applications #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  14. Quantizing data for distributed learning
    2020/12/14 by Osama A. Hanna, Yahya H. Ezzeldin, Hanna, Osama A. +5 · 1 citation
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Stochastic Gradient Optimization Techniques
  15. Group testing for overlapping communities
    2020/12/04 by Nikolopoulos, Pavlos, Srinivasavaradhan, Sundara Rajan, Guo, Tao +2 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  16. On the Renyi Differential Privacy of the Shuffle Model
    2021/05/11 by Girgis, Antonious M., Data, Deepesh, Diggavi, Suhas +2 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning
    2021/07/19 by Girgis, Antonious M., Data, Deepesh, Diggavi, Suhas · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  18. Shuffled Model of Federated Learning: Privacy, Communication and\n Accuracy Trade-offs
    2020/08/17 by Antonious M. Girgis, Deepesh Data, Girgis, Antonious M. +7 · 3 citations
    Computer Science · Mathematics · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Advanced Causal Inference Techniques
  19. A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
    2022/07/05 by Ozkara, Kaan, Girgis, Antonious M., Data, Deepesh +1 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. On Leave-One-Out Conditional Mutual Information For Generalization
    2022/07/01 by Mohamad Rida Rammal, Alessandro Achille, Rammal, Mohamad Rida +7 · 1 citation
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Neural Networks and Applications
  21. Differentially Private Stochastic Linear Bandits: (Almost) for Free
    2022/07/07 by Hanna, Osama A., Girgis, Antonious M., Fragouli, Christina +1 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Approximately achieving Gaussian relay network capacity with lattice\n codes
    2010/05/07 by Ayfer Özgür, Ozgur, Ayfer, Suhas Diggavi +1 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Wireless Communication Technologies #Cooperative Communication and Network Coding #DNA and Biological Computing #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Communication Security Techniques
  23. ICQuant: Index Coding enables Low-bit LLM Quantization
    2025/05/01 by Xinlin Li, Osama A. Hanna, Li, Xinlin +5 · 3 citations
    Computer Science · #Advanced Data Compression Techniques #Advanced Data Storage Technologies #Error Correcting Code Techniques
  24. On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study
    2024/04/03 by Tomoyoshi Kimura, Kimura, Tomoyoshi, Jinyang Li +21 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Speech and Audio Processing #Structural Health Monitoring Techniques #electronic engineering #information engineering
  25. Transformers learn variable-order Markov chains in-context
    2024/10/07 by Zhou, Ruida, Tian, Chao, Diggavi, Suhas · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)