All Publications


  • Adaptive Group Testing on Networks With Community Structure: The Stochastic Block Model IEEE TRANSACTIONS ON INFORMATION THEORY Ahn, S., Chen, W., Ozgur, A. 2023; 69 (7): 4758-4776
  • Breaking the Communication-Privacy-Accuracy Trilemma IEEE TRANSACTIONS ON INFORMATION THEORY Chen, W., Kairouz, P., Ozgur, A. 2023; 69 (2): 1261-1281
  • Optimal Compression of Locally Differentially Private Mechanisms Shah, A., Chen, W., Balle, J., Kairouz, P., Theis, L., Camps-Valls, G., Ruiz, F. J., Valera JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2022
  • The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning Chen, W., Choquette-Choo, C. A., Kairouz, P., Suresh, A., Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G., Sabato, S. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2022
  • The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation Chen, W., Ozgur, A., Kairouz, P., Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G., Sabato, S. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2022
  • Adaptive Group Testing on Networks with Community Structure Ahn, S., Chen, W., Ozgur, A., IEEE IEEE. 2021: 1242-1247
  • Differentially Private Federated Learning: An Information-Theoretic Perspective Asoodeh, S., Chen, W., Calmon, F. P., Ozgur, A., IEEE IEEE. 2021: 344-349