Saurav Prakash

1. Coded Computation over Heterogeneous Clusters
   2017/01/21 by Amirhossein Reisizadeh, Reisizadeh, Amirhossein, Saurav Prakash +5 · 3 citations
   Computer Science · Mathematics · #Distributed #FOS: Computer and information sciences #Information Theory (cs.IT) #Parallel #and Cluster Computing (cs.DC) #cs.DC #cs.IT #math.IT
2. Machine Unlearning of Federated Clusters
   2022/10/28 by Chao Pan, Jin Sima, Pan, Chao +7 · 4 citations
   Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
3. Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge
   2022/08/27 by Sara Babakniya, Souvik Kundu, Babakniya, Sara +7 · 3 citations
   Computer Science · #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data
4. Coded Computing for Federated Learning at the Edge
   2020/07/07 by Saurav Prakash, Sagar Dhakal, Prakash, Saurav +9 · 2 citations
   Computer Science · Mathematics · #Advanced Graph Neural Networks #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC) #cs.DC #cs.LG #stat.ML
5. Secure and Fault Tolerant Decentralized Learning
   2020/10/15 by Saurav Prakash, Hanieh Hashemi, Prakash, Saurav +7 · 1 citation
   Computer Science · #Cloud Data Security Solutions #Distributed #Distributed systems and fault tolerance #FOS: Computer and information sciences #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
6. Federated Learning of Large Models at the Edge via Principal Sub-Model Training
   2022/08/28 by Yue Niu, Niu, Yue, Saurav Prakash +7 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques