240 citations · 390 across the 15 of their papers we have counts for
4 papers · 1 filter
Optimal Rate Adaption in Federated Learning with Compressed Communications
Laizhong Cui, Xiaoxin Su, Yipeng Zhou +1
Federated Learning (FL) incurs high communication overhead, which can be greatly alleviated by compression for model updates. Yet the tradeoff between compression and model accurac…
Federated Unlearning
Gaoyang Liu, Xiaoqiang Ma, Yang Yang +2
Federated learning (FL) has recently emerged as a promising distributed machine learning (ML) paradigm. Practical needs of the "right to be forgotten" and countering data poisoning…
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang, Lingyang Chu, Zirui Zhou +4
Non-IID data present a tough challenge for federated learning. In this paper, we explore a novel idea of facilitating pairwise collaborations between clients with similar data. We…
Forecasting Popularity of Videos using Social Media
Jie Xu, Mihaela van der Schaar, Jiangchuan Liu +1
This paper presents a systematic online prediction method (Social-Forecast) that is capable to accurately forecast the popularity of videos promoted by social media. Social-Forecas…