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Fri Dec 02 06:30 AM -- 06:35 AM (PST) None
Opening Remarks
In Federated Learning: Recent Advances and New Challenges
Shiqiang Wang
Fri Dec 02 06:35 AM -- 06:53 AM (PST) None
Trustworthy Federated Learning
In Federated Learning: Recent Advances and New Challenges
Bo Li
Fri Dec 02 06:53 AM -- 06:57 AM (PST) None
Trustworthy Federated Learning - Q&A
In Federated Learning: Recent Advances and New Challenges
Fri Dec 02 06:57 AM -- 07:15 AM (PST) None
Asynchronous Optimization: Delays, Stability, and the Impact of Data Heterogeneity
In Federated Learning: Recent Advances and New Challenges
Konstantin Mishchenko
Fri Dec 02 07:15 AM -- 07:19 AM (PST) None
Asynchronous Optimization: Delays, Stability, and the Impact of Data Heterogeneity - Q&A
In Federated Learning: Recent Advances and New Challenges
Fri Dec 02 07:20 AM -- 07:27 AM (PST) None
Conditional Moment Alignment for Improved Generalization in Federated Learning
In Federated Learning: Recent Advances and New Challenges
Jayanth Reddy Regatti · Songtao Lu · Abhishek Gupta · Ness Shroff
[ OpenReview] 
Fri Dec 02 07:30 AM -- 07:37 AM (PST) None
Mechanisms that Incentivize Data Sharing in Federated Learning
In Federated Learning: Recent Advances and New Challenges
Sai Praneeth Karimireddy · Wenshuo Guo · Michael Jordan
[ OpenReview] 
Fri Dec 02 07:40 AM -- 07:47 AM (PST) None
Federated Learning with Online Adaptive Heterogeneous Local Models
In Federated Learning: Recent Advances and New Challenges
Hanhan Zhou · Tian Lan · Guru Prasadh Venkataramani · Wenbo Ding
[ OpenReview] 
Fri Dec 02 07:50 AM -- 07:57 AM (PST) None
LightVeriFL: Lightweight and Verifiable Secure Federated Learning
In Federated Learning: Recent Advances and New Challenges
Baturalp Buyukates · Jinhyun So · Hessam Mahdavifar · Salman Avestimehr
[ OpenReview] 
Fri Dec 02 08:00 AM -- 08:30 AM (PST) None
Break
In Federated Learning: Recent Advances and New Challenges
Fri Dec 02 08:30 AM -- 08:37 AM (PST) None
Efficient Federated Random Subnetwork Training
In Federated Learning: Recent Advances and New Challenges
Francesco Pase · Berivan Isik · Deniz Gunduz · Tsachy Weissman · Michele Zorzi
[ OpenReview] 
Fri Dec 02 08:40 AM -- 08:47 AM (PST) None
Group privacy for personalized federated learning
In Federated Learning: Recent Advances and New Challenges
Filippo Galli · Sayan Biswas · Gangsoo Zeong · Tommaso Cucinotta · Catuscia Palamidessi
[ OpenReview] 
Fri Dec 02 08:50 AM -- 08:57 AM (PST) None
To Federate or Not To Federate: Incentivizing Client Participation in Federated Learning
In Federated Learning: Recent Advances and New Challenges
Yae Jee Cho · Divyansh Jhunjhunwala · Tian Li · Virginia Smith · Gauri Joshi
[ OpenReview] 
Fri Dec 02 09:00 AM -- 09:07 AM (PST) None
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
In Federated Learning: Recent Advances and New Challenges
Marco Bornstein · Tahseen Rabbani · Evan Wang · Amrit Bedi · Furong Huang
[ OpenReview] 
Fri Dec 02 09:10 AM -- 09:15 AM (PST) None
Best Paper Announcement
In Federated Learning: Recent Advances and New Challenges
Fri Dec 02 09:15 AM -- 10:00 AM (PST) None
Poster Session 1
In Federated Learning: Recent Advances and New Challenges
Fri Dec 02 10:00 AM -- 11:30 AM (PST) None
Lunch Break
In Federated Learning: Recent Advances and New Challenges
Fri Dec 02 11:30 AM -- 11:37 AM (PST) None
FL Games: A Federated Learning Framework for Distribution Shifts
In Federated Learning: Recent Advances and New Challenges
Sharut Gupta · Kartik Ahuja · Mohammad Havaei · Niladri Chatterjee · Yoshua Bengio
[ OpenReview] 
Fri Dec 02 11:40 AM -- 11:47 AM (PST) None
Verifiable Federated Machine Learning
In Federated Learning: Recent Advances and New Challenges
Simone Bottoni · Giulio Zizzo · Stefano Braghin · Alberto Trombetta
[ OpenReview] 
Fri Dec 02 11:50 AM -- 11:57 AM (PST) None
Accelerated Federated Optimization with Quantization
In Federated Learning: Recent Advances and New Challenges
Yeojoon Youn · Bhuvesh Kumar · Jacob Abernethy
[ OpenReview] 
Fri Dec 02 12:00 PM -- 12:07 PM (PST) None
Tackling Personalized Federated Learning with Label Concept Drift via Hierarchical Bayesian Modeling
In Federated Learning: Recent Advances and New Challenges
Xingchen Ma · Junyi Zhu · Matthew Blaschko
[ OpenReview] 
Fri Dec 02 12:10 PM -- 01:00 PM (PST) None
Panel
In Federated Learning: Recent Advances and New Challenges
Fri Dec 02 01:00 PM -- 01:30 PM (PST) None
Break
In Federated Learning: Recent Advances and New Challenges
Fri Dec 02 01:30 PM -- 01:48 PM (PST) None
On the Unreasonable Effectiveness of Federated Averaging with Heterogenous Data
In Federated Learning: Recent Advances and New Challenges
Jianyu Wang
Fri Dec 02 01:48 PM -- 01:52 PM (PST) None
On the Unreasonable Effectiveness of Federated Averaging with Heterogenous Data - Q&A
In Federated Learning: Recent Advances and New Challenges
Fri Dec 02 01:52 PM -- 02:10 PM (PST) None
Scalable and Communication-Efficient Vertical Federated Learning
In Federated Learning: Recent Advances and New Challenges
Stacy Patterson
Fri Dec 02 02:10 PM -- 02:14 PM (PST) None
Scalable and Communication-Efficient Vertical Federated Learning - Q&A
In Federated Learning: Recent Advances and New Challenges
Fri Dec 02 02:15 PM -- 03:00 PM (PST) None
Poster Session 2
In Federated Learning: Recent Advances and New Challenges
None
AIMHI: Protecting Sensitive Data through Federated Co-Training
In Federated Learning: Recent Advances and New Challenges
Amr Abourayya · Michael Kamp · Erman Ayday · Jens Kleesiek · Kanishka Rao · Geoffrey Webb · Bharat Rao
None
A Novel Model-Based Attribute Inference Attack in Federated Learning
In Federated Learning: Recent Advances and New Challenges
ilias driouich · CHUAN XU · Giovanni Neglia · Frederic Giroire · Eoin Thomas
None
FedSHIBU: Federated Similarity-based Head Independent Body Update
In Federated Learning: Recent Advances and New Challenges
Athul Sreemathy Raj · Irene Tenison · Kacem Khaled · Felipe de Magalhães · Athul Sreemathy Raj
None
Revisiting the Activation Function for Federated Image Classification
In Federated Learning: Recent Advances and New Challenges
Jaewoo Shin · Taehyeon Kim · Se-Young Yun
None
FLARE: Federated Learning from Simulation to Real-World
In Federated Learning: Recent Advances and New Challenges
Holger Roth · Yan Cheng · Yuhong Wen · Te-Chung (Isaac) Yang · Ziyue Xu · Yuan-Ting Hsieh · Kristopher Kersten · Ahmed Harouni · Can Zhao · Kevin Lu · Zhihong Zhang · Wenqi Li · Andriy Myronenko · Dong Yang · Sean Yang · Nicola Rieke · Abood Quraini · Chester Chen · Daguang Xu · Nic Ma · Prerna Dogra · Mona Flores · Andrew Feng
None
PerFedSI: A Framework for Personalized Federated Learning with Side Information
In Federated Learning: Recent Advances and New Challenges
Liam Collins · Enmao Diao · Tanya Roosta · Jie Ding · Tao Zhang
None
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
In Federated Learning: Recent Advances and New Challenges
Shengyuan Hu · Jack Goetz · Kshitiz Malik · Hongyuan Zhan · Zhe Liu · Yue Liu
None
Personalized Multi-tier Federated Learning
In Federated Learning: Recent Advances and New Challenges
Sourasekhar Banerjee · Alp Yurtsever · Monowar Bhuyan
None
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
In Federated Learning: Recent Advances and New Challenges
Saeed Vahidian · Mahdi Morafah · Weijia Wang · Bill Lin
None
Reconciling Security and Communication Efficiency in Federated Learning
In Federated Learning: Recent Advances and New Challenges
Karthik Prasad · Sayan Ghosh · Graham Cormode · Ilya Mironov · Ashkan Yousefpour · Pierre STOCK
None
FedToken: Tokenized Incentives for Data Contribution in Federated Learning
In Federated Learning: Recent Advances and New Challenges
Shashi Raj Pandey · Lam Nguyen · Petar Popovski
None
Federated Continual Learning with Differentially Private Data Sharing
In Federated Learning: Recent Advances and New Challenges
Giulio Zizzo · Ambrish Rawat · Naoise Holohan · Seshu Tirupathi
None
$z$-SignFedAvg: A unified sign-based stochastic compression for federated learning
In Federated Learning: Recent Advances and New Challenges
Zhiwei Tang · Yanmeng Wang · Tsung-Hui Chang
None
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information
In Federated Learning: Recent Advances and New Challenges
Kiwan Maeng · Chuan Guo · Sanjay Kariyappa · G. Edward Suh
None
Federated Learning of Large Models at the Edge via Principal Sub-Model Training
In Federated Learning: Recent Advances and New Challenges
Yue Niu · Saurav Prakash · Souvik Kundu · Sunwoo Lee · Salman Avestimehr
None
Improving Vertical Federated Learning by Efficient Communication with ADMM
In Federated Learning: Recent Advances and New Challenges
Chulin Xie · Pin-Yu Chen · Ce Zhang · Bo Li
None
Subject Level Differential Privacy with Hierarchical Gradient Averaging
In Federated Learning: Recent Advances and New Challenges
Virendra Marathe · Pallika Kanani · Daniel Peterson
None
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing
In Federated Learning: Recent Advances and New Challenges
Marco Schreyer · Hamed Hemati · Damian Borth · Miklos Vasarhelyi
None
Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge
In Federated Learning: Recent Advances and New Challenges
Sara Babakniya · Souvik Kundu · Saurav Prakash · Yue Niu · Salman Avestimehr
None
DASH: Decentralized CASH for Federated Learning
In Federated Learning: Recent Advances and New Challenges
Md Ibrahim Ibne Alam · Koushik Kar · Theodoros Salonidis · Horst Samulowitz
None
Federated Progressive Sparsification (Purge-Merge-Tune)+
In Federated Learning: Recent Advances and New Challenges
Dimitris Stripelis · Umang Gupta · Greg Ver Steeg · Jose-Luis Ambite
None
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
In Federated Learning: Recent Advances and New Challenges
Junyi Li · Heng Huang
None
Federated Fairness without Access to Demographics
In Federated Learning: Recent Advances and New Challenges
Afroditi Papadaki · Natalia Martinez · Martin Bertran · Guillermo Sapiro · Miguel Rodrigues
None
Certified Robustness in Federated Learning
In Federated Learning: Recent Advances and New Challenges
Motasem Alfarra · Juan Perez · Egor Shulgin · Peter Richtarik · Bernard Ghanem
None
FedRule: Federated Rule Recommendation System with Graph Neural Networks
In Federated Learning: Recent Advances and New Challenges
Yuhang Yao · Mohammad Mahdi Kamani · Zhongwei Cheng · Lin Chen · Carlee Joe-Wong · Tianqiang Liu
None
Private and Robust Federated Learning using Private Information Retrieval and Norm Bounding
In Federated Learning: Recent Advances and New Challenges
Hamid Mozaffari · Virendra Marathe · Dave Dice
None
Accelerating Federated Learning Through Attention on Local Model Updates
In Federated Learning: Recent Advances and New Challenges
Parsa Assadi · Byung Hoon Ahn · Hadi Esmaeilzadeh
None
Privacy-Preserving Data Filtering in Federated Learning Using Influence Approximation
In Federated Learning: Recent Advances and New Challenges
Ljubomir Rokvic · Panayiotis Danassis · Boi Faltings
None
The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning
In Federated Learning: Recent Advances and New Challenges
Chuan Guo · Kamalika Chaudhuri · Pierre STOCK · Mike Rabbat
None
Federated Learning for Predicting the Next Node in Action Flows
In Federated Learning: Recent Advances and New Challenges
Daniel Lopes · João Nadkarni · Filipe Assunção · Miguel Lopes · Luís Rodrigues
None
With a Little Help from My Friend: Server-Aided Federated Learning with Partial Client Participation
In Federated Learning: Recent Advances and New Challenges
Haibo Yang · Peiwen Qiu · Prashant Khanduri · Jia Liu
None
MocoSFL: enabling cross-client collaborative self-supervised learning
In Federated Learning: Recent Advances and New Challenges
Jingtao Li · Lingjuan Lyu · Daisuke Iso · Chaitali Chakrabarti · Michael Spranger
None
Self-Supervised Vertical Federated Learning
In Federated Learning: Recent Advances and New Challenges
Timothy Castiglia · Shiqiang Wang · Stacy Patterson
None
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
In Federated Learning: Recent Advances and New Challenges
Mirian Hipolito Garcia · Andre Manoel · Daniel Madrigal · Robert Sim · Dimitrios Dimitriadis
None
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
In Federated Learning: Recent Advances and New Challenges
Yuanhao Xiong · Ruochen Wang · Minhao Cheng · Felix Yu · Cho-Jui Hsieh
None
Adaptive Sparse Federated Learning in Large Output Spaces via Hashing
In Federated Learning: Recent Advances and New Challenges
Zhaozhuo Xu · Luyang Liu · Zheng Xu · Anshumali Shrivastava
None
Federated Frank-Wolfe Algorithm
In Federated Learning: Recent Advances and New Challenges
Ali Dadras · Karthik Prakhya · Alp Yurtsever
None
Refined Convergence and Topology Learning for Decentralized Optimization with Heterogeneous Data
In Federated Learning: Recent Advances and New Challenges
Batiste Le bars · Aurélien Bellet · Marc Tommasi · Erick Lavoie · Anne-marie Kermarrec
None
Asynchronous speedup in decentralized optimization
In Federated Learning: Recent Advances and New Challenges
Mathieu Even · Hadrien Hendrikx · Laurent Massoulié
None
FedTH : Tree-based Hierarchical Image Classification in Federated Learning
In Federated Learning: Recent Advances and New Challenges
Jaeheon Kim · Bong Jun Choi
None
Unbounded Gradients in Federated Leaning with Buffered Asynchronous Aggregation
In Federated Learning: Recent Advances and New Challenges
M. Taha Toghani · Cesar Uribe
None
On the Vulnerability of Backdoor Defenses for Federated Learning
In Federated Learning: Recent Advances and New Challenges
Pei Fang · Jinghui Chen
None
Early Detection of Sexual Predators with Federated Learning
In Federated Learning: Recent Advances and New Challenges
Khaoula Chehbouni · Gilles Caporossi · Reihaneh Rabbany · Martine De Cock · Golnoosh Farnadi
None
Towards Provably Personalized Federated Learning via Threshold-Clustering of Similar Clients
In Federated Learning: Recent Advances and New Challenges
Mariel A Werner · Lie He · Sai Praneeth Karimireddy · Michael Jordan · Martin Jaggi
None
Building Large Machine Learning Models from Small Distributed Models: A Layer Matching Approach
In Federated Learning: Recent Advances and New Challenges
xinwei zhang · Bingqing Song · Mehrdad Honarkhah · Jie Ding · Mingyi Hong
None
VOTING-BASED APPROACHES FOR DIFFERENTIALLY PRIVATE FEDERATED LEARNING
In Federated Learning: Recent Advances and New Challenges
Yuqing Zhu · Xiang Yu · Yi-Hsuan Tsai · Francesco Pittaluga · Masoud Faraki · Manmohan Chandraker · Yu-Xiang Wang
None
Accelerating Adaptive Federated Optimization with Local Gossip Communications
In Federated Learning: Recent Advances and New Challenges
Yujia Wang · Pei Fang · Jinghui Chen
None
A Multi-Token Coordinate Descent Method for Vertical Federated Learning
In Federated Learning: Recent Advances and New Challenges
Pedro Valdeira · Yuejie Chi · Claudia Soares · Joao Xavier
None
ColRel: Collaborative Relaying for Federated Learning over Intermittently Connected Networks
In Federated Learning: Recent Advances and New Challenges
Rajarshi Saha · Michal Yemini · Emre Ozfatura · Deniz Gunduz · Andrea Goldsmith
None
Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study
In Federated Learning: Recent Advances and New Challenges
Ziwei Li · Hong-You Chen · Han Wei Shen · Wei-Lun Chao
None
Differentially Private Federated Quantiles with the Distributed Discrete Gaussian Mechanism
In Federated Learning: Recent Advances and New Challenges
Krishna Pillutla · Yassine Laguel · Jérôme Malick · Zaid Harchaoui
None
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
In Federated Learning: Recent Advances and New Challenges
Chen Dun · Mirian Hipolito Garcia · Dimitrios Dimitriadis · Christopher Jermaine · Anastasios Kyrillidis
None
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
In Federated Learning: Recent Advances and New Challenges
John Nguyen · Jianyu Wang · Kshitiz Malik · Maziar Sanjabi · Mike Rabbat
None
Trusted Aggregation (TAG): Model Filtering Backdoor Defense In Federated Learning
In Federated Learning: Recent Advances and New Challenges
Joseph Lavond · Minhao Cheng · Yao Li
None
Cross-device Federated Architecture Search
In Federated Learning: Recent Advances and New Challenges
Stefanos Laskaridis · Javier Fernandez-Marques · Łukasz Dudziak
None
Client-Private Secure Aggregation for Privacy-Preserving Federated Learning
In Federated Learning: Recent Advances and New Challenges
Parker Newton · Olivia Choudhury · Bill Horne · Vidya Ravipati · Divya Bhargavi · Ujjwal Ratan
None
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning
In Federated Learning: Recent Advances and New Challenges
Shanshan Wu · Tian Li · Zachary Charles · Yu Xiao · Ken Liu · Zheng Xu · Virginia Smith
None
Find Your Friends: Personalized Federated Learning with the Right Collaborators
In Federated Learning: Recent Advances and New Challenges
Yi Sui · Junfeng Wen · Yenson Lau · Brendan Ross · Jesse Cresswell
None
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
In Federated Learning: Recent Advances and New Challenges
Saeed Vahidian · Mahdi Morafah · Chen Chen · Mubarak Shah · Bill Lin
None
Decentralized Learning with Random Walks and Communication-Efficient Adaptive Optimization
In Federated Learning: Recent Advances and New Challenges
Aleksei Triastcyn · Matthias Reisser · Christos Louizos
None
How to Combine Variational Bayesian Networks in Federated Learning
In Federated Learning: Recent Advances and New Challenges
Atahan Özer · Kadir Burak Buldu · Abdullah Akgül · Gozde Unal
None
Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
In Federated Learning: Recent Advances and New Challenges
Chhavi Sharma · Vishnu Narayanan · Balamurugan Palaniappan