IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
SS-6: Frontiers of Federated Learning: Applications, Challenges, and Opportunities
Mon, 9 May, 22:00 - 22:45 China Time (UTC +8)
Mon, 9 May, 14:00 - 14:45 UTC
Location: Gather Area A
Session Co-Chairs: Jie Ding, University of Minnesota and Alexa AI, Amazon and Salman Avestimehr, University of Southern California and Alexa AI, Amazon and Tao Zhang, Alexa AI, Amazon
Track: Special Sessions

SS-6.1: Federated Learning Challenges and Opportunities: An Outlook
Jie Ding, Eric Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang, Amazon, United States of America

SS-6.2: ENABLING ON-DEVICE TRAINING OF SPEECH RECOGNITION MODELS WITH FEDERATED DROPOUT
Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Francoise Beaufays, Giovanni Motta, Google Inc, United States of America

SS-6.3: ADAPTIVE NODE PARTICIPATION FOR STRAGGLER-RESILIENT FEDERATED LEARNING
Amirhossein Reisizadeh, MIT, United States of America; Isidoros Tziotis, Aryan Mokhtari, UT Austin, United States of America; Hamed Hassani, UPenn, United States of America; Ramtin Pedarsani, UC Santa Barbara, United States of America

SS-6.4: LEARNINGS FROM FEDERATED LEARNING IN THE REAL WORLD
Christophe Dupuy, Tanya Roosta, Leo Long, Clement Chung, Rahul Gupta, Amazon Alexa AI, United States of America; Salman Avestimehr, Amazon Alexa AI ; University of Southern California (USC), United States of America

SS-6.5: A DYNAMIC REWEIGHTING STRATEGY FOR FAIR FEDERATED LEARNING
Zhiyuan Zhao, Gauri Joshi, Carnegie Mellon University, United States of America

SS-6.6: OVER-THE-AIR PERSONALIZED FEDERATED LEARNING
Hasin Us Sami, Basak Guler, University of California, Riverside, United States of America