• Asynchronous online federated learning with reduced communication requirements 

      Gauthier, Francois Jean Rene; Gogineni, Vinay Chakravarthi; Werner, Anders Stefan; Huang, Yih-Fang; Kuh, Anthony (Peer reviewed; Journal article, 2023)
      Online federated learning (FL) enables geographically distributed devices to learn a global shared model from locally available streaming data. Most online FL literature considers a best-case scenario regarding the ...
    • Networked personalized federated learning using reinforcement learning 

      Gauthier, Francois Jean Rene; Gogineni, Vinay Chakravarthi; Werner, Anders Stefan (Peer reviewed; Journal article, 2023)
      Personalized federated learning enables every edge device or group of edge devices within the distributed network to learn a device- or cluster-specific model tailored to their local needs. Data scarcity, however, makes ...
    • Personalized graph federated learning with differential privacy 

      Gauthier, Francois Jean Rene; Gogineni, Vinay Chakravarthi; Werner, Anders Stefan; Huang, Yih-Fang; Kuh, Anthony (Peer reviewed; Journal article, 2023)
      This paper presents a personalized graph federated learning (PGFL) framework in which distributedly connected servers and their respective edge devices collaboratively learn device or cluster-specific models while maintaining ...