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• Degree-Quant: Quantization-Aware Training for Graph Neural Networks
  2020 · 20 citations
• ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
  2022 · 11 citations
• FedorAS: Federated Architecture Search under system heterogeneity
  2022 · 5 citations
• End-to-End Speech Recognition from Federated Acoustic Models
  2021 · 3 citations
• End-to-End Speech Recognition from Federated Acoustic Models
  2021 · 3 citations
• On-device Federated Learning with Flower
  2021 · 1 citations
• Federated Self-supervised Speech Representations: Are We There Yet?
  2022 · 1 citations
• Federated Self-supervised Speech Representations: Are We There Yet?
  2022 · 1 citations
• Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio
  2022 · 1 citations
• Federated Learning for Inference at Anytime and Anywhere
  2022 · 1 citations
• PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration
  2023
• Pollen: High-throughput Federated Learning Simulation via Resource-Aware Client Placement
  2023
• Recurrent Early Exits for Federated Learning with Heterogeneous Clients
  2024